Face Generation

In this project, you'll define and train a Generative Adverserial network of your own creation on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!

The project will be broken down into a series of tasks from defining new architectures training adversarial networks. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with small amounts of noise.

Get the Data

You'll be using the CelebFaces Attributes Dataset (CelebA) to train your adversarial networks.

This dataset has higher resolution images than datasets you have previously worked with (like MNIST or SVHN) you've been working with, and so, you should prepare to define deeper networks and train them for a longer time to get good results. It is suggested that you utilize a GPU for training.

Pre-processed Data

Since the project's main focus is on building the GANs, we've done some of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. Some sample data is show below.

If you are working locally, you can download this data by clicking here

This is a zip file that you'll need to extract in the home directory of this notebook for further loading and processing. After extracting the data, you should be left with a directory of data processed-celeba-small/.

# run this once to unzip the file
#!unzip processed-celeba-small.zip

from glob import glob
from typing import Tuple, Callable, Dict
import torch.nn as nn
import matplotlib.pyplot as plt
import numpy as np
import torch
from PIL import Image
from torch.utils.data import DataLoader, Dataset
from torchvision.transforms import Compose, Resize, ToTensor, Normalize , CenterCrop

import pathlib
import tests

data_dir = 'processed_celeba_small/celeba/'

Data pipeline

The CelebA dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations, you'll only need the images. Note that these are color images with 3 color channels (RGB)#RGB_Images) each.

Pre-process and Load the Data

Since the project's main focus is on building the GANs, we've done some of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. This pre-processed dataset is a smaller subset of the very large CelebA dataset and contains roughly 30,000 images.

Your first task consists in building the dataloader. To do so, you need to do the following:

• implement the get_transforms function
• create a custom Dataset class that reads the CelebA data

Exercise: implement the get_transforms function

The get_transforms function should output a torchvision.transforms.Compose of different transformations. You have two constraints:

• the function takes a tuple of size as input and should resize the images to the input size
• the output images should have values ranging from -1 to 1

def get_transforms(size: Tuple[int, int]) -> Callable:
    """ Transforms to apply to the image."""
    # TODO: edit this function by appening transforms to the below list
    transforms = [Resize(size[0]),
                  CenterCrop(size[0]),
                  ToTensor()
                  ]
    #Normalize([0.5, 0.5, 0.5],[0.5, 0.5, 0.5])
    return Compose(transforms)

Exercise: implement the DatasetDirectory class

The DatasetDirectory class is a torch Dataset that reads from the above data directory. The __getitem__ method should output a transformed tensor and the __len__ method should output the number of files in our dataset. You can look at this custom dataset for ideas.

class DatasetDirectory(Dataset):
    """
    A custom dataset class that loads images from folder.
    args:
    - directory: location of the images
    - transform: transform function to apply to the images
    - extension: file format
    """
    def __init__(self, 
                 directory: str, 
                 transforms: Callable = None, 
                 extension: str = '.jpg'):
        
        self.img_dir = list(pathlib.Path(directory).glob('*'+extension))
        self.transform = transforms
        # TODO: implement the init method

    def __len__(self) -> int:
        """ returns the number of items in the dataset """
        # TODO: return the number of elements in the dataset
        return len(self.img_dir)

    def __getitem__(self, index: int) -> torch.Tensor:
        """ load an image and apply transformation """
        # TODO: return the index-element of the dataset
        image_path = self.img_dir[index]
        img = Image.open(image_path)
        image = self.transform(img)
        return image

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to verify your dataset implementation
dataset = DatasetDirectory(data_dir, get_transforms((64, 64)))
tests.check_dataset_outputs(dataset)

Congrats, your dataset implementation passed all the tests

The functions below will help you visualize images from the dataset.

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""

def denormalize(images):
    """Transform images from [-1.0, 1.0] to [0, 255] and cast them to uint8."""
    return ((images + 1.) / 2. * 255).astype(np.uint8)

# plot the images in the batch, along with the corresponding labels
fig = plt.figure(figsize=(20, 4))
plot_size=20
for idx in np.arange(plot_size):
    ax = fig.add_subplot(2, int(plot_size/2), idx+1, xticks=[], yticks=[])
    img = dataset[idx].numpy()
    img = np.transpose(img, (1, 2, 0))
    img = denormalize(img)
    ax.imshow(img)

Model implementation

As you know, a GAN is comprised of two adversarial networks, a discriminator and a generator. Now that we have a working data pipeline, we need to implement the discriminator and the generator.

Feel free to implement any additional class or function.

Exercise: Create the discriminator

The discriminator's job is to score real and fake images. You have two constraints here:

• the discriminator takes as input a batch of 64x64x3 images
• the output should be a single value (=score)

Feel free to get inspiration from the different architectures we talked about in the course, such as DCGAN, WGAN-GP or DRAGAN.

Some tips

• To scale down from the input image, you can either use Conv2d layers with the correct hyperparameters or Pooling layers.
• If you plan on using gradient penalty, do not use Batch Normalization layers in the discriminator.

# helper scale function
def scale(x, feature_range=(-1, 1)):
    ''' Scale takes in an image x and returns that image, scaled
       with a feature_range of pixel values from -1 to 1. 
       This function assumes that the input x is already scaled from 0-1.'''
    # assume x is scaled to (0, 1)
    # scale to feature_range and return scaled x
    ####
    arr_min, arr_max = feature_range
    x = x * (arr_max - arr_min) + arr_min
    ####
    return x

def weights_init(m):
    classname = m.__class__.__name__
    if classname.find('Conv') != -1:
        nn.init.normal_(m.weight.data, 0.0, 0.02)

from torch.nn import Module

class ConvBlock(Module):
    """
    A convolutional block is made of 3 layers: Conv -> BatchNorm -> Activation.
    args:
    - in_channels: number of channels in the input to the conv layer
    - out_channels: number of filters in the conv layer
    - kernel_size: filter dimension of the conv layer
    - batch_norm: whether to use batch norm or not
    """
    def __init__(self, in_channels: int, out_channels: int, kernel_size: int, batch_norm: bool = True):
        super(ConvBlock, self).__init__()
        
        self.conv = torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=2, padding=1, bias=False)
        self.batch_norm = batch_norm
        if self.batch_norm:
            self.bn = torch.nn.BatchNorm2d(out_channels)
        self.activation = torch.nn.LeakyReLU(0.2)
        
    def forward(self, x: torch.Tensor) -> torch.Tensor:
        x = self.conv(x)
        if self.batch_norm:
            x = self.bn(x)
        x = self.activation(x)
        return x

class Discriminator(Module):
    def __init__(self):
        super(Discriminator, self).__init__()
        # TODO: instantiate the different layers
         # complete init function
        ndf = 64
        nc = 3
        self.main = nn.Sequential(
            # input is ``(nc) x 64 x 64``
            nn.Conv2d(nc, ndf, 4, 2, 1, bias=False),
            nn.LeakyReLU(0.2, inplace=True),
            # state size. ``(ndf) x 32 x 32``
            nn.Conv2d(ndf, ndf * 2, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ndf * 2),
            nn.LeakyReLU(0.2, inplace=True),
            # state size. ``(ndf*2) x 16 x 16``
            nn.Conv2d(ndf * 2, ndf * 4, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ndf * 4),
            nn.LeakyReLU(0.2, inplace=True),
            # state size. ``(ndf*4) x 8 x 8``
            nn.Conv2d(ndf * 4, ndf * 8, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ndf * 8),
            nn.LeakyReLU(0.2, inplace=True),
            # state size. ``(ndf*8) x 4 x 4``
            nn.Conv2d(ndf * 8, 1, 4, 1, 0, bias=False),
            #nn.Dropout(p=0.2),
            #nn.Linear(ndf*4*4, 1),
            #nn.Sigmoid()
        )
#nn.Sigmoid()


      
    def forward(self, x: torch.Tensor) -> torch.Tensor:
        # TODO: implement the forward method
        x = self.main(x)      
        return x 

discriminator = Discriminator()
discriminator.apply(weights_init)

print(discriminator)

Discriminator(
  (main): Sequential(
    (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): LeakyReLU(negative_slope=0.2, inplace=True)
    (2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (3): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (4): LeakyReLU(negative_slope=0.2, inplace=True)
    (5): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (6): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (7): LeakyReLU(negative_slope=0.2, inplace=True)
    (8): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (9): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (10): LeakyReLU(negative_slope=0.2, inplace=True)
    (11): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), bias=False)
  )
)

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to check your discriminator implementation
discriminator = Discriminator()
tests.check_discriminator(discriminator)

Congrats, your discriminator implementation passed all the tests

Exercise: create the generator

The generator's job creates the "fake images" and learns the dataset distribution. You have three constraints here:

• the generator takes as input a vector of dimension [batch_size, latent_dimension, 1, 1]
• the generator must outputs 64x64x3 images

Feel free to get inspiration from the different architectures we talked about in the course, such as DCGAN, WGAN-GP or DRAGAN.

Some tips:

• to scale up from the latent vector input, you can use ConvTranspose2d layers
• as often with Gan, Batch Normalization helps with training

class Generator(Module):
    def __init__(self, latent_dim: int):
        super(Generator, self).__init__()
        # TODO: instantiate the different layers
        ngf = 64
        self.main = nn.Sequential(
            # input is Z, going into a convolution
            nn.ConvTranspose2d( latent_dim, ngf * 8, 4, 1, 0, bias=False),
            nn.BatchNorm2d(ngf * 8),
            nn.ReLU(True),
            # state size. ``(ngf*8) x 4 x 4``
            nn.ConvTranspose2d(ngf * 8, ngf * 4, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ngf * 4),
            nn.ReLU(True),
            # state size. ``(ngf*4) x 8 x 8``
            nn.ConvTranspose2d( ngf * 4, ngf * 2, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ngf * 2),
            nn.ReLU(True),
            # state size. ``(ngf*2) x 16 x 16``
            nn.ConvTranspose2d( ngf * 2, ngf, 4, 2, 1, bias=False),
            nn.BatchNorm2d(ngf),
            nn.ReLU(True),
            # state size. ``(ngf) x 32 x 32``
            nn.ConvTranspose2d(ngf, 3, 4, 2, 1, bias=False),
            nn.Tanh()
            # state size. ``(nc) x 64 x 64``
        )

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        # TODO: implement the forward method
        x = self.main(x)
        return x

generator = Generator(128)
generator.apply(weights_init)

print(generator)

Generator(
  (main): Sequential(
    (0): ConvTranspose2d(128, 512, kernel_size=(4, 4), stride=(1, 1), bias=False)
    (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU(inplace=True)
    (3): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (5): ReLU(inplace=True)
    (6): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (7): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (8): ReLU(inplace=True)
    (9): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (10): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (11): ReLU(inplace=True)
    (12): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (13): Tanh()
  )
)

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
# run this cell to verify your generator implementation
latent_dim = 128
generator = Generator(latent_dim)
tests.check_generator(generator, latent_dim)

Congrats, your generator implementation passed all the tests

Optimizer

In the following section, we create the optimizers for the generator and discriminator. You may want to experiment with different optimizers, learning rates and other hyperparameters as they tend to impact the output quality.

Exercise: implement the optimizers

import torch.optim as optim


def create_optimizers(generator: Module, discriminator: Module):
    """ This function should return the optimizers of the generator and the discriminator """
    # TODO: implement the generator and discriminator optimizers
    lr = 0.0002
    beta1 = 0.5
    beta2 = 0.999

    g_optimizer = torch.optim.Adam(generator.parameters(), lr, [beta1, beta2])
    d_optimizer = torch.optim.Adam(discriminator.parameters(), lr, [beta1, beta2])
    return g_optimizer, d_optimizer

Losses implementation

In this section, we are going to implement the loss function for the generator and the discriminator. You can and should experiment with different loss function.

Some tips:

• You can choose the commonly used the binary cross entropy loss or select other losses we have discovered in the course, such as the Wasserstein distance.
• You may want to implement a gradient penalty function as discussed in the course. It is not required and the code will work whether you implement it or not.

Exercise: implement the generator loss

The generator's goal is to get the discriminator to think its generated images (= "fake" images) are real.

import torch

# Check for a GPU
train_on_gpu = torch.cuda.is_available()
if not train_on_gpu:
    print('No GPU')
else:
    print('Training on GPU!')

Training on GPU!

def generator_loss(fake_logits):
    """ Generator loss, takes the fake scores as inputs. """
    # TODO: implement the generator loss 
    """
    Wasserstein Generator Loss
    
    args:
    - fake_logits: vector of logits outputed by the discriminator with a fake input image 
    """
    loss = -fake_logits.mean()
    return loss

def fake_loss(D_out):
    batch_size = D_out.size(0)
    labels = torch.zeros(batch_size) # fake labels = 0
    if train_on_gpu:
        labels = labels.cuda()
    criterion = nn.BCEWithLogitsLoss()
    # calculate loss
    loss = criterion(D_out.squeeze(), labels)
    return loss

Exercise: implement the discriminator loss

We want the discriminator to give high scores to real images and low scores to fake ones and the discriminator loss should reflect that.

def discriminator_loss(real_logits, fake_logits):
    """ Discriminator loss, takes the fake and real logits as inputs. """
    # TODO: implement the discriminator loss 
    """
    Wasserstein Discriminator Loss
    
    args:
    - real_logits: vector of logits outputed by the discriminator with a real input image
    - fake_logits: vector of logits outputed by the discriminator with a fake input image 
    """
    ####
    real_loss = -real_logits.mean()
    fake_loss = fake_logits.mean()
    loss = real_loss + fake_loss
    ####
    return loss

def real_loss(D_out, smooth=False):
    batch_size = D_out.size(0)
    # label smoothing
    if smooth:
        # smooth, real labels = 0.9
        labels = torch.ones(batch_size)*0.9
    else:
        labels = torch.ones(batch_size) # real labels = 1
    # move labels to GPU if available     
    if train_on_gpu:
        labels = labels.cuda()
    # binary cross entropy with logits loss
    criterion = nn.BCEWithLogitsLoss()
    # calculate loss
    loss = criterion(D_out.squeeze(), labels)
    return loss

Exercise (Optional): Implement the gradient Penalty

In the course, we discussed the importance of gradient penalty in training certain types of Gans. Implementing this function is not required and depends on some of the design decision you made (discriminator architecture, loss functions).

def gradient_penalty(discriminator, real_samples, fake_samples):
    """ This function enforces """
    gp = 0
    # TODO (Optional): implement the gradient penalty
    ####

    ####
    return gp

def save_model(discriminator, generator, d_optimizer, g_optimizer, filename="face_dcgan_model.pt"):
    data = dict(
        discriminator=discriminator,
        generator=generator,
        d_optimizer=d_optimizer,
        g_optimizer=g_optimizer
    )
    torch.save(data, filename)

Training

Training will involve alternating between training the discriminator and the generator. You'll use your functions real_loss and fake_loss to help you calculate the discriminator losses.

• You should train the discriminator by alternating on real and fake images
• Then the generator, which tries to trick the discriminator and should have an opposing loss function

Exercise: implement the generator step and the discriminator step functions

Each function should do the following:

• calculate the loss
• backpropagate the gradient
• perform one optimizer step

def generator_step(batch_size: int, latent_dim: int) -> Dict:
    """ One training step of the generator. """
    # TODO: implement the generator step (foward pass, loss calculation and backward pass)
    g_optimizer.zero_grad()
    z= np.random.uniform(-1, 1, size=(batch_size, latent_dim, 1, 1))
    z= torch.from_numpy(z).float()
    
    if train_on_gpu:
        z = z.cuda()
            
    fake_images = generator(z)
        
    D_fake = discriminator(fake_images)
    g_loss = real_loss(D_fake, True)
    g_loss.backward()
    g_optimizer.step()
    
    return {'loss': g_loss}


def discriminator_step(batch_size: int, latent_dim: int, real_images: torch.Tensor) -> Dict:
    """ One training step of the discriminator. """
    # TODO: implement the discriminator step (foward pass, loss calculation and backward pass)
    d_optimizer.zero_grad()
    D_real = discriminator(real_images)
    

    z = np.random.uniform(-1, 1, size=(batch_size, latent_dim, 1, 1))
    z = torch.from_numpy(z).float()
    
    if train_on_gpu:
        z = z.cuda()
    
    fake_images = generator(z)
    
    D_fake = discriminator(fake_images.detach())
    
    d_real_loss = real_loss(D_real, True)
    
    d_fake_loss = fake_loss(D_fake) 
    d_loss = d_real_loss + d_fake_loss
    d_loss.backward()
    d_optimizer.step()
    
    return {'loss': d_loss, 'gp': 0}

Main training loop

You don't have to implement anything here but you can experiment with different hyperparameters.

from datetime import datetime
import pickle as pkl

# you can experiment with different dimensions of latent spaces
latent_dim = 128

# update to cpu if you do not have access to a gpu
device = 'cuda'

# number of epochs to train your model
n_epochs = 50

# number of images in each batch
batch_size = 64

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
print_every = 5

# Create optimizers for the discriminator D and generator G
generator = Generator(latent_dim).to(device)
discriminator = Discriminator().to(device)
g_optimizer, d_optimizer = create_optimizers(generator, discriminator)

dataloader = DataLoader(dataset, 
                        batch_size=64, 
                        shuffle=True, 
                        num_workers=4, 
                        drop_last=True,
                        pin_memory=False)

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""

def display(fixed_latent_vector: torch.Tensor):
    """ helper function to display images during training """
    fig = plt.figure(figsize=(14, 4))
    plot_size = 16
    for idx in np.arange(plot_size):
        ax = fig.add_subplot(2, int(plot_size/2), idx+1, xticks=[], yticks=[])
        img = fixed_latent_vector[idx, ...].detach().cpu().numpy()
        img = np.transpose(img, (1, 2, 0))
        img = denormalize(img)
        ax.imshow(img)
    plt.show()

Exercise: implement the training strategy

You should experiment with different training strategies. For example:

• train the generator more often than the discriminator.
• added noise to the input image
• use label smoothing

Implement with your training strategy below.

fixed_latent_vector = torch.randn(16, latent_dim, 1, 1).float().cuda()

losses = []
for epoch in range(n_epochs):
    for batch_i, real_images in enumerate(dataloader):
        real_images = real_images.to(device)
        real_images = scale(real_images)
        ####################################
        
        # TODO: implement the training strategy
               
        d_loss = discriminator_step(batch_size, latent_dim, real_images)
        
        g_loss = generator_step(batch_size, latent_dim)
        
        ####################################
        
        if batch_i % print_every == 0:
            # append discriminator loss and generator loss
            d = d_loss['loss'].item()
            g = g_loss['loss'].item()
            losses.append((d, g))
            # print discriminator and generator loss
            time = str(datetime.now()).split('.')[0]
            print(f'{time} | Epoch [{epoch+1}/{n_epochs}] | Batch {batch_i}/{len(dataloader)} | d_loss: {d:.4f} | g_loss: {g:.4f}')
            save_model(discriminator, generator, d_optimizer, g_optimizer)
    
    # display images during training
    generator.eval()
    generated_images = generator(fixed_latent_vector)
    display(generated_images)
    generator.train()

with open('generated_images.pkl', 'wb') as f:
    pkl.dump(generated_images, f)

2023-06-03 21:37:41 | Epoch [1/50] | Batch 0/509 | d_loss: 1.5835 | g_loss: 1.9311
2023-06-03 21:37:43 | Epoch [1/50] | Batch 5/509 | d_loss: 0.5865 | g_loss: 4.4692
2023-06-03 21:37:44 | Epoch [1/50] | Batch 10/509 | d_loss: 0.5202 | g_loss: 6.0517
2023-06-03 21:37:46 | Epoch [1/50] | Batch 15/509 | d_loss: 0.4945 | g_loss: 5.8668
2023-06-03 21:37:48 | Epoch [1/50] | Batch 20/509 | d_loss: 0.3864 | g_loss: 6.0789
2023-06-03 21:37:49 | Epoch [1/50] | Batch 25/509 | d_loss: 0.4887 | g_loss: 7.6906
2023-06-03 21:37:51 | Epoch [1/50] | Batch 30/509 | d_loss: 0.4237 | g_loss: 7.5743
2023-06-03 21:37:53 | Epoch [1/50] | Batch 35/509 | d_loss: 0.3859 | g_loss: 7.2319
2023-06-03 21:37:54 | Epoch [1/50] | Batch 40/509 | d_loss: 0.4367 | g_loss: 6.2263
2023-06-03 21:37:56 | Epoch [1/50] | Batch 45/509 | d_loss: 0.6398 | g_loss: 10.7993
2023-06-03 21:37:58 | Epoch [1/50] | Batch 50/509 | d_loss: 0.3923 | g_loss: 12.0000
2023-06-03 21:37:59 | Epoch [1/50] | Batch 55/509 | d_loss: 0.8270 | g_loss: 12.1106
2023-06-03 21:38:01 | Epoch [1/50] | Batch 60/509 | d_loss: 1.1713 | g_loss: 11.7445
2023-06-03 21:38:02 | Epoch [1/50] | Batch 65/509 | d_loss: 0.7981 | g_loss: 7.5791
2023-06-03 21:38:04 | Epoch [1/50] | Batch 70/509 | d_loss: 0.4504 | g_loss: 7.6156
2023-06-03 21:38:06 | Epoch [1/50] | Batch 75/509 | d_loss: 0.3824 | g_loss: 5.0052
2023-06-03 21:38:07 | Epoch [1/50] | Batch 80/509 | d_loss: 0.4771 | g_loss: 4.4712
2023-06-03 21:38:09 | Epoch [1/50] | Batch 85/509 | d_loss: 0.6073 | g_loss: 1.5015
2023-06-03 21:38:11 | Epoch [1/50] | Batch 90/509 | d_loss: 0.8002 | g_loss: 5.1554
2023-06-03 21:38:12 | Epoch [1/50] | Batch 95/509 | d_loss: 0.6516 | g_loss: 4.5649
2023-06-03 21:38:14 | Epoch [1/50] | Batch 100/509 | d_loss: 1.2495 | g_loss: 6.5196
2023-06-03 21:38:16 | Epoch [1/50] | Batch 105/509 | d_loss: 0.4640 | g_loss: 3.2727
2023-06-03 21:38:17 | Epoch [1/50] | Batch 110/509 | d_loss: 0.5572 | g_loss: 3.0523
2023-06-03 21:38:19 | Epoch [1/50] | Batch 115/509 | d_loss: 0.6160 | g_loss: 3.6284
2023-06-03 21:38:21 | Epoch [1/50] | Batch 120/509 | d_loss: 0.4550 | g_loss: 4.4375
2023-06-03 21:38:22 | Epoch [1/50] | Batch 125/509 | d_loss: 0.4634 | g_loss: 4.6134
2023-06-03 21:38:24 | Epoch [1/50] | Batch 130/509 | d_loss: 0.6599 | g_loss: 5.4502
2023-06-03 21:38:25 | Epoch [1/50] | Batch 135/509 | d_loss: 0.5319 | g_loss: 4.0498
2023-06-03 21:38:27 | Epoch [1/50] | Batch 140/509 | d_loss: 2.7609 | g_loss: 6.5744
2023-06-03 21:38:29 | Epoch [1/50] | Batch 145/509 | d_loss: 0.4799 | g_loss: 3.2045
2023-06-03 21:38:30 | Epoch [1/50] | Batch 150/509 | d_loss: 0.4697 | g_loss: 3.9035
2023-06-03 21:38:32 | Epoch [1/50] | Batch 155/509 | d_loss: 0.5113 | g_loss: 3.1345
2023-06-03 21:38:34 | Epoch [1/50] | Batch 160/509 | d_loss: 0.4632 | g_loss: 2.5036
2023-06-03 21:38:35 | Epoch [1/50] | Batch 165/509 | d_loss: 0.5874 | g_loss: 3.1359
2023-06-03 21:38:37 | Epoch [1/50] | Batch 170/509 | d_loss: 0.6334 | g_loss: 4.0309
2023-06-03 21:38:39 | Epoch [1/50] | Batch 175/509 | d_loss: 0.9028 | g_loss: 4.1402
2023-06-03 21:38:40 | Epoch [1/50] | Batch 180/509 | d_loss: 0.5074 | g_loss: 4.2628
2023-06-03 21:38:42 | Epoch [1/50] | Batch 185/509 | d_loss: 0.9869 | g_loss: 6.4001
2023-06-03 21:38:44 | Epoch [1/50] | Batch 190/509 | d_loss: 0.6415 | g_loss: 3.8061
2023-06-03 21:38:45 | Epoch [1/50] | Batch 195/509 | d_loss: 2.5643 | g_loss: 8.2470
2023-06-03 21:38:47 | Epoch [1/50] | Batch 200/509 | d_loss: 0.6418 | g_loss: 3.1825
2023-06-03 21:38:48 | Epoch [1/50] | Batch 205/509 | d_loss: 0.8012 | g_loss: 4.9178
2023-06-03 21:38:50 | Epoch [1/50] | Batch 210/509 | d_loss: 0.7674 | g_loss: 4.3393
2023-06-03 21:38:52 | Epoch [1/50] | Batch 215/509 | d_loss: 0.8633 | g_loss: 3.5345
2023-06-03 21:38:53 | Epoch [1/50] | Batch 220/509 | d_loss: 0.5186 | g_loss: 3.3016
2023-06-03 21:38:55 | Epoch [1/50] | Batch 225/509 | d_loss: 0.5659 | g_loss: 3.0067
2023-06-03 21:38:57 | Epoch [1/50] | Batch 230/509 | d_loss: 0.5832 | g_loss: 2.4876
2023-06-03 21:38:58 | Epoch [1/50] | Batch 235/509 | d_loss: 0.6213 | g_loss: 2.8506
2023-06-03 21:39:00 | Epoch [1/50] | Batch 240/509 | d_loss: 0.7023 | g_loss: 1.3525
2023-06-03 21:39:01 | Epoch [1/50] | Batch 245/509 | d_loss: 0.9392 | g_loss: 2.0915
2023-06-03 21:39:03 | Epoch [1/50] | Batch 250/509 | d_loss: 0.6160 | g_loss: 2.2782
2023-06-03 21:39:05 | Epoch [1/50] | Batch 255/509 | d_loss: 0.7095 | g_loss: 2.3758
2023-06-03 21:39:06 | Epoch [1/50] | Batch 260/509 | d_loss: 0.5290 | g_loss: 2.1475
2023-06-03 21:39:08 | Epoch [1/50] | Batch 265/509 | d_loss: 0.7792 | g_loss: 2.4778
2023-06-03 21:39:10 | Epoch [1/50] | Batch 270/509 | d_loss: 0.4948 | g_loss: 3.6167
2023-06-03 21:39:11 | Epoch [1/50] | Batch 275/509 | d_loss: 0.9927 | g_loss: 6.3643
2023-06-03 21:39:13 | Epoch [1/50] | Batch 280/509 | d_loss: 0.7626 | g_loss: 4.3021
2023-06-03 21:39:15 | Epoch [1/50] | Batch 285/509 | d_loss: 0.6348 | g_loss: 3.2938
2023-06-03 21:39:16 | Epoch [1/50] | Batch 290/509 | d_loss: 0.6758 | g_loss: 3.0576
2023-06-03 21:39:18 | Epoch [1/50] | Batch 295/509 | d_loss: 0.5025 | g_loss: 2.8881
2023-06-03 21:39:19 | Epoch [1/50] | Batch 300/509 | d_loss: 0.4171 | g_loss: 3.4117
2023-06-03 21:39:21 | Epoch [1/50] | Batch 305/509 | d_loss: 0.9645 | g_loss: 2.7109
2023-06-03 21:39:23 | Epoch [1/50] | Batch 310/509 | d_loss: 0.5659 | g_loss: 4.3086
2023-06-03 21:39:24 | Epoch [1/50] | Batch 315/509 | d_loss: 0.7237 | g_loss: 4.1636
2023-06-03 21:39:26 | Epoch [1/50] | Batch 320/509 | d_loss: 0.4826 | g_loss: 2.0767
2023-06-03 21:39:28 | Epoch [1/50] | Batch 325/509 | d_loss: 0.4980 | g_loss: 2.6783
2023-06-03 21:39:29 | Epoch [1/50] | Batch 330/509 | d_loss: 0.5065 | g_loss: 3.0527
2023-06-03 21:39:31 | Epoch [1/50] | Batch 335/509 | d_loss: 3.7804 | g_loss: 3.1655
2023-06-03 21:39:32 | Epoch [1/50] | Batch 340/509 | d_loss: 0.7122 | g_loss: 3.2948
2023-06-03 21:39:34 | Epoch [1/50] | Batch 345/509 | d_loss: 0.7695 | g_loss: 4.8821
2023-06-03 21:39:36 | Epoch [1/50] | Batch 350/509 | d_loss: 0.5679 | g_loss: 3.3756
2023-06-03 21:39:37 | Epoch [1/50] | Batch 355/509 | d_loss: 0.6744 | g_loss: 4.3464
2023-06-03 21:39:39 | Epoch [1/50] | Batch 360/509 | d_loss: 0.7088 | g_loss: 1.6895
2023-06-03 21:39:41 | Epoch [1/50] | Batch 365/509 | d_loss: 0.7365 | g_loss: 3.8643
2023-06-03 21:39:42 | Epoch [1/50] | Batch 370/509 | d_loss: 0.5771 | g_loss: 3.0965
2023-06-03 21:39:44 | Epoch [1/50] | Batch 375/509 | d_loss: 0.9540 | g_loss: 5.7830
2023-06-03 21:39:46 | Epoch [1/50] | Batch 380/509 | d_loss: 0.5885 | g_loss: 3.4731
2023-06-03 21:39:47 | Epoch [1/50] | Batch 385/509 | d_loss: 0.5496 | g_loss: 4.3442
2023-06-03 21:39:49 | Epoch [1/50] | Batch 390/509 | d_loss: 1.0486 | g_loss: 6.4198
2023-06-03 21:39:50 | Epoch [1/50] | Batch 395/509 | d_loss: 0.5576 | g_loss: 3.2348
2023-06-03 21:39:52 | Epoch [1/50] | Batch 400/509 | d_loss: 0.5842 | g_loss: 2.7299
2023-06-03 21:39:54 | Epoch [1/50] | Batch 405/509 | d_loss: 0.7838 | g_loss: 2.1073
2023-06-03 21:39:55 | Epoch [1/50] | Batch 410/509 | d_loss: 0.8267 | g_loss: 3.0039
2023-06-03 21:39:57 | Epoch [1/50] | Batch 415/509 | d_loss: 0.9537 | g_loss: 1.6989
2023-06-03 21:39:59 | Epoch [1/50] | Batch 420/509 | d_loss: 0.8274 | g_loss: 3.4519
2023-06-03 21:40:00 | Epoch [1/50] | Batch 425/509 | d_loss: 0.8863 | g_loss: 4.3368
2023-06-03 21:40:02 | Epoch [1/50] | Batch 430/509 | d_loss: 0.8440 | g_loss: 4.0031
2023-06-03 21:40:04 | Epoch [1/50] | Batch 435/509 | d_loss: 0.7845 | g_loss: 2.4939
2023-06-03 21:40:05 | Epoch [1/50] | Batch 440/509 | d_loss: 1.5249 | g_loss: 3.0563
2023-06-03 21:40:07 | Epoch [1/50] | Batch 445/509 | d_loss: 0.9270 | g_loss: 3.2465
2023-06-03 21:40:08 | Epoch [1/50] | Batch 450/509 | d_loss: 0.7560 | g_loss: 4.4123
2023-06-03 21:40:10 | Epoch [1/50] | Batch 455/509 | d_loss: 0.5292 | g_loss: 3.9892
2023-06-03 21:40:12 | Epoch [1/50] | Batch 460/509 | d_loss: 0.6104 | g_loss: 3.5822
2023-06-03 21:40:13 | Epoch [1/50] | Batch 465/509 | d_loss: 0.5167 | g_loss: 2.2013
2023-06-03 21:40:15 | Epoch [1/50] | Batch 470/509 | d_loss: 0.8057 | g_loss: 2.5015
2023-06-03 21:40:17 | Epoch [1/50] | Batch 475/509 | d_loss: 0.7249 | g_loss: 3.3677
2023-06-03 21:40:18 | Epoch [1/50] | Batch 480/509 | d_loss: 0.9799 | g_loss: 3.3120
2023-06-03 21:40:20 | Epoch [1/50] | Batch 485/509 | d_loss: 0.6533 | g_loss: 5.1643
2023-06-03 21:40:21 | Epoch [1/50] | Batch 490/509 | d_loss: 0.7082 | g_loss: 4.8572
2023-06-03 21:40:23 | Epoch [1/50] | Batch 495/509 | d_loss: 1.3234 | g_loss: 7.1662
2023-06-03 21:40:25 | Epoch [1/50] | Batch 500/509 | d_loss: 0.7374 | g_loss: 2.5197
2023-06-03 21:40:26 | Epoch [1/50] | Batch 505/509 | d_loss: 0.7268 | g_loss: 3.1832

2023-06-03 21:40:29 | Epoch [2/50] | Batch 0/509 | d_loss: 0.6180 | g_loss: 2.5981
2023-06-03 21:40:31 | Epoch [2/50] | Batch 5/509 | d_loss: 0.8218 | g_loss: 2.9932
2023-06-03 21:40:32 | Epoch [2/50] | Batch 10/509 | d_loss: 0.5479 | g_loss: 3.3539
2023-06-03 21:40:34 | Epoch [2/50] | Batch 15/509 | d_loss: 0.5995 | g_loss: 4.7399
2023-06-03 21:40:35 | Epoch [2/50] | Batch 20/509 | d_loss: 0.5461 | g_loss: 3.7629
2023-06-03 21:40:37 | Epoch [2/50] | Batch 25/509 | d_loss: 0.5140 | g_loss: 3.3452
2023-06-03 21:40:39 | Epoch [2/50] | Batch 30/509 | d_loss: 0.7950 | g_loss: 2.2128
2023-06-03 21:40:40 | Epoch [2/50] | Batch 35/509 | d_loss: 0.5119 | g_loss: 3.4314
2023-06-03 21:40:42 | Epoch [2/50] | Batch 40/509 | d_loss: 0.9463 | g_loss: 5.9543
2023-06-03 21:40:44 | Epoch [2/50] | Batch 45/509 | d_loss: 1.0867 | g_loss: 1.9187
2023-06-03 21:40:45 | Epoch [2/50] | Batch 50/509 | d_loss: 0.7357 | g_loss: 3.4543
2023-06-03 21:40:47 | Epoch [2/50] | Batch 55/509 | d_loss: 2.1077 | g_loss: 4.3404
2023-06-03 21:40:49 | Epoch [2/50] | Batch 60/509 | d_loss: 0.7942 | g_loss: 4.3771
2023-06-03 21:40:50 | Epoch [2/50] | Batch 65/509 | d_loss: 0.7065 | g_loss: 3.3648
2023-06-03 21:40:52 | Epoch [2/50] | Batch 70/509 | d_loss: 0.6194 | g_loss: 4.3864
2023-06-03 21:40:53 | Epoch [2/50] | Batch 75/509 | d_loss: 0.4888 | g_loss: 3.8477
2023-06-03 21:40:55 | Epoch [2/50] | Batch 80/509 | d_loss: 0.6984 | g_loss: 5.3109
2023-06-03 21:40:57 | Epoch [2/50] | Batch 85/509 | d_loss: 0.6176 | g_loss: 3.6006
2023-06-03 21:40:58 | Epoch [2/50] | Batch 90/509 | d_loss: 0.6218 | g_loss: 3.2790
2023-06-03 21:41:00 | Epoch [2/50] | Batch 95/509 | d_loss: 0.6378 | g_loss: 4.6367
2023-06-03 21:41:02 | Epoch [2/50] | Batch 100/509 | d_loss: 0.5272 | g_loss: 4.0937
2023-06-03 21:41:03 | Epoch [2/50] | Batch 105/509 | d_loss: 0.4895 | g_loss: 4.7315
2023-06-03 21:41:05 | Epoch [2/50] | Batch 110/509 | d_loss: 0.6284 | g_loss: 2.8542
2023-06-03 21:41:07 | Epoch [2/50] | Batch 115/509 | d_loss: 0.5523 | g_loss: 2.6554
2023-06-03 21:41:08 | Epoch [2/50] | Batch 120/509 | d_loss: 0.5025 | g_loss: 3.3876
2023-06-03 21:41:10 | Epoch [2/50] | Batch 125/509 | d_loss: 0.6569 | g_loss: 3.0201
2023-06-03 21:41:11 | Epoch [2/50] | Batch 130/509 | d_loss: 0.6124 | g_loss: 2.3487
2023-06-03 21:41:13 | Epoch [2/50] | Batch 135/509 | d_loss: 0.7979 | g_loss: 2.5931
2023-06-03 21:41:15 | Epoch [2/50] | Batch 140/509 | d_loss: 0.6278 | g_loss: 2.6980
2023-06-03 21:41:16 | Epoch [2/50] | Batch 145/509 | d_loss: 0.6438 | g_loss: 3.7275
2023-06-03 21:41:18 | Epoch [2/50] | Batch 150/509 | d_loss: 1.3630 | g_loss: 5.8512
2023-06-03 21:41:20 | Epoch [2/50] | Batch 155/509 | d_loss: 0.6992 | g_loss: 2.4307
2023-06-03 21:41:21 | Epoch [2/50] | Batch 160/509 | d_loss: 0.5063 | g_loss: 3.8862
2023-06-03 21:41:23 | Epoch [2/50] | Batch 165/509 | d_loss: 0.8377 | g_loss: 5.5159
2023-06-03 21:41:24 | Epoch [2/50] | Batch 170/509 | d_loss: 0.5914 | g_loss: 3.1235
2023-06-03 21:41:26 | Epoch [2/50] | Batch 175/509 | d_loss: 0.4989 | g_loss: 3.6997
2023-06-03 21:41:28 | Epoch [2/50] | Batch 180/509 | d_loss: 0.9876 | g_loss: 7.3556
2023-06-03 21:41:29 | Epoch [2/50] | Batch 185/509 | d_loss: 0.8514 | g_loss: 4.1125
2023-06-03 21:41:31 | Epoch [2/50] | Batch 190/509 | d_loss: 0.6156 | g_loss: 3.4963
2023-06-03 21:41:33 | Epoch [2/50] | Batch 195/509 | d_loss: 0.7883 | g_loss: 6.6773
2023-06-03 21:41:34 | Epoch [2/50] | Batch 200/509 | d_loss: 0.7960 | g_loss: 2.5887
2023-06-03 21:41:36 | Epoch [2/50] | Batch 205/509 | d_loss: 0.7116 | g_loss: 3.3880
2023-06-03 21:41:38 | Epoch [2/50] | Batch 210/509 | d_loss: 0.6426 | g_loss: 2.7673
2023-06-03 21:41:39 | Epoch [2/50] | Batch 215/509 | d_loss: 0.5647 | g_loss: 3.1432
2023-06-03 21:41:41 | Epoch [2/50] | Batch 220/509 | d_loss: 0.6194 | g_loss: 3.9627
2023-06-03 21:41:42 | Epoch [2/50] | Batch 225/509 | d_loss: 1.1293 | g_loss: 3.7647
2023-06-03 21:41:44 | Epoch [2/50] | Batch 230/509 | d_loss: 0.9031 | g_loss: 6.2415
2023-06-03 21:41:46 | Epoch [2/50] | Batch 235/509 | d_loss: 0.5757 | g_loss: 3.2492
2023-06-03 21:41:47 | Epoch [2/50] | Batch 240/509 | d_loss: 0.4854 | g_loss: 3.1485
2023-06-03 21:41:49 | Epoch [2/50] | Batch 245/509 | d_loss: 0.6219 | g_loss: 3.8924
2023-06-03 21:41:51 | Epoch [2/50] | Batch 250/509 | d_loss: 0.5875 | g_loss: 3.6146
2023-06-03 21:41:52 | Epoch [2/50] | Batch 255/509 | d_loss: 0.5737 | g_loss: 3.6706
2023-06-03 21:41:54 | Epoch [2/50] | Batch 260/509 | d_loss: 0.5403 | g_loss: 4.3891
2023-06-03 21:41:55 | Epoch [2/50] | Batch 265/509 | d_loss: 0.5788 | g_loss: 3.0291
2023-06-03 21:41:57 | Epoch [2/50] | Batch 270/509 | d_loss: 0.6280 | g_loss: 2.5008
2023-06-03 21:41:59 | Epoch [2/50] | Batch 275/509 | d_loss: 0.5597 | g_loss: 3.4961
2023-06-03 21:42:00 | Epoch [2/50] | Batch 280/509 | d_loss: 0.7823 | g_loss: 5.1845
2023-06-03 21:42:02 | Epoch [2/50] | Batch 285/509 | d_loss: 0.9362 | g_loss: 6.1900
2023-06-03 21:42:04 | Epoch [2/50] | Batch 290/509 | d_loss: 1.3001 | g_loss: 7.0270
2023-06-03 21:42:05 | Epoch [2/50] | Batch 295/509 | d_loss: 0.8426 | g_loss: 2.0326
2023-06-03 21:42:07 | Epoch [2/50] | Batch 300/509 | d_loss: 0.6936 | g_loss: 3.2542
2023-06-03 21:42:09 | Epoch [2/50] | Batch 305/509 | d_loss: 0.8218 | g_loss: 2.0778
2023-06-03 21:42:10 | Epoch [2/50] | Batch 310/509 | d_loss: 0.6062 | g_loss: 3.7769
2023-06-03 21:42:12 | Epoch [2/50] | Batch 315/509 | d_loss: 0.6153 | g_loss: 3.9711
2023-06-03 21:42:13 | Epoch [2/50] | Batch 320/509 | d_loss: 0.6458 | g_loss: 3.2125
2023-06-03 21:42:15 | Epoch [2/50] | Batch 325/509 | d_loss: 0.7216 | g_loss: 2.9329
2023-06-03 21:42:17 | Epoch [2/50] | Batch 330/509 | d_loss: 0.5004 | g_loss: 4.3610
2023-06-03 21:42:18 | Epoch [2/50] | Batch 335/509 | d_loss: 1.1367 | g_loss: 5.9974
2023-06-03 21:42:20 | Epoch [2/50] | Batch 340/509 | d_loss: 0.7838 | g_loss: 4.0586
2023-06-03 21:42:22 | Epoch [2/50] | Batch 345/509 | d_loss: 2.5077 | g_loss: 4.0423
2023-06-03 21:42:23 | Epoch [2/50] | Batch 350/509 | d_loss: 1.0084 | g_loss: 5.5849
2023-06-03 21:42:25 | Epoch [2/50] | Batch 355/509 | d_loss: 0.6615 | g_loss: 3.9790
2023-06-03 21:42:27 | Epoch [2/50] | Batch 360/509 | d_loss: 0.5612 | g_loss: 3.0654
2023-06-03 21:42:28 | Epoch [2/50] | Batch 365/509 | d_loss: 0.6229 | g_loss: 3.4000
2023-06-03 21:42:30 | Epoch [2/50] | Batch 370/509 | d_loss: 0.6340 | g_loss: 4.5427
2023-06-03 21:42:31 | Epoch [2/50] | Batch 375/509 | d_loss: 0.6490 | g_loss: 3.2722
2023-06-03 21:42:33 | Epoch [2/50] | Batch 380/509 | d_loss: 0.6017 | g_loss: 4.9471
2023-06-03 21:42:35 | Epoch [2/50] | Batch 385/509 | d_loss: 0.9404 | g_loss: 5.8480
2023-06-03 21:42:36 | Epoch [2/50] | Batch 390/509 | d_loss: 0.5991 | g_loss: 3.0346
2023-06-03 21:42:38 | Epoch [2/50] | Batch 395/509 | d_loss: 0.5032 | g_loss: 3.0612
2023-06-03 21:42:40 | Epoch [2/50] | Batch 400/509 | d_loss: 0.6923 | g_loss: 2.7887
2023-06-03 21:42:41 | Epoch [2/50] | Batch 405/509 | d_loss: 0.5442 | g_loss: 2.8045
2023-06-03 21:42:43 | Epoch [2/50] | Batch 410/509 | d_loss: 0.8642 | g_loss: 1.7486
2023-06-03 21:42:44 | Epoch [2/50] | Batch 415/509 | d_loss: 0.5246 | g_loss: 3.4574
2023-06-03 21:42:46 | Epoch [2/50] | Batch 420/509 | d_loss: 0.5160 | g_loss: 3.6794
2023-06-03 21:42:48 | Epoch [2/50] | Batch 425/509 | d_loss: 0.6274 | g_loss: 4.6605
2023-06-03 21:42:49 | Epoch [2/50] | Batch 430/509 | d_loss: 0.5734 | g_loss: 3.8430
2023-06-03 21:42:51 | Epoch [2/50] | Batch 435/509 | d_loss: 1.5815 | g_loss: 9.3037
2023-06-03 21:42:53 | Epoch [2/50] | Batch 440/509 | d_loss: 0.7623 | g_loss: 2.1901
2023-06-03 21:42:54 | Epoch [2/50] | Batch 445/509 | d_loss: 0.7570 | g_loss: 3.3120
2023-06-03 21:42:56 | Epoch [2/50] | Batch 450/509 | d_loss: 0.6800 | g_loss: 3.1663
2023-06-03 21:42:58 | Epoch [2/50] | Batch 455/509 | d_loss: 0.6057 | g_loss: 3.0089
2023-06-03 21:42:59 | Epoch [2/50] | Batch 460/509 | d_loss: 0.6893 | g_loss: 2.6284
2023-06-03 21:43:01 | Epoch [2/50] | Batch 465/509 | d_loss: 0.8279 | g_loss: 5.8495
2023-06-03 21:43:02 | Epoch [2/50] | Batch 470/509 | d_loss: 0.7523 | g_loss: 3.6318
2023-06-03 21:43:04 | Epoch [2/50] | Batch 475/509 | d_loss: 0.6534 | g_loss: 4.8337
2023-06-03 21:43:06 | Epoch [2/50] | Batch 480/509 | d_loss: 0.5616 | g_loss: 4.0319
2023-06-03 21:43:07 | Epoch [2/50] | Batch 485/509 | d_loss: 0.6481 | g_loss: 4.5601
2023-06-03 21:43:09 | Epoch [2/50] | Batch 490/509 | d_loss: 0.8611 | g_loss: 5.6220
2023-06-03 21:43:11 | Epoch [2/50] | Batch 495/509 | d_loss: 1.1509 | g_loss: 5.2944
2023-06-03 21:43:12 | Epoch [2/50] | Batch 500/509 | d_loss: 0.7478 | g_loss: 1.8390
2023-06-03 21:43:14 | Epoch [2/50] | Batch 505/509 | d_loss: 0.5302 | g_loss: 3.6192

2023-06-03 21:43:16 | Epoch [3/50] | Batch 0/509 | d_loss: 0.8086 | g_loss: 4.5087
2023-06-03 21:43:18 | Epoch [3/50] | Batch 5/509 | d_loss: 0.6532 | g_loss: 3.8521
2023-06-03 21:43:20 | Epoch [3/50] | Batch 10/509 | d_loss: 0.5757 | g_loss: 3.5678
2023-06-03 21:43:21 | Epoch [3/50] | Batch 15/509 | d_loss: 1.0358 | g_loss: 2.5198
2023-06-03 21:43:23 | Epoch [3/50] | Batch 20/509 | d_loss: 0.6446 | g_loss: 3.2416
2023-06-03 21:43:24 | Epoch [3/50] | Batch 25/509 | d_loss: 0.6008 | g_loss: 2.7944
2023-06-03 21:43:26 | Epoch [3/50] | Batch 30/509 | d_loss: 0.7491 | g_loss: 4.6228
2023-06-03 21:43:28 | Epoch [3/50] | Batch 35/509 | d_loss: 1.5078 | g_loss: 7.7032
2023-06-03 21:43:29 | Epoch [3/50] | Batch 40/509 | d_loss: 0.8590 | g_loss: 3.6583
2023-06-03 21:43:31 | Epoch [3/50] | Batch 45/509 | d_loss: 0.7018 | g_loss: 3.6795
2023-06-03 21:43:33 | Epoch [3/50] | Batch 50/509 | d_loss: 0.9677 | g_loss: 1.5652
2023-06-03 21:43:34 | Epoch [3/50] | Batch 55/509 | d_loss: 0.7066 | g_loss: 2.6239
2023-06-03 21:43:36 | Epoch [3/50] | Batch 60/509 | d_loss: 0.7554 | g_loss: 2.3833
2023-06-03 21:43:38 | Epoch [3/50] | Batch 65/509 | d_loss: 0.7626 | g_loss: 2.2806
2023-06-03 21:43:39 | Epoch [3/50] | Batch 70/509 | d_loss: 0.5587 | g_loss: 3.4033
2023-06-03 21:43:41 | Epoch [3/50] | Batch 75/509 | d_loss: 0.8062 | g_loss: 2.9898
2023-06-03 21:43:42 | Epoch [3/50] | Batch 80/509 | d_loss: 1.1777 | g_loss: 4.7373
2023-06-03 21:43:44 | Epoch [3/50] | Batch 85/509 | d_loss: 0.6674 | g_loss: 3.5661
2023-06-03 21:43:46 | Epoch [3/50] | Batch 90/509 | d_loss: 0.6510 | g_loss: 3.3797
2023-06-03 21:43:47 | Epoch [3/50] | Batch 95/509 | d_loss: 0.5585 | g_loss: 3.3413
2023-06-03 21:43:49 | Epoch [3/50] | Batch 100/509 | d_loss: 0.8209 | g_loss: 1.3264
2023-06-03 21:43:51 | Epoch [3/50] | Batch 105/509 | d_loss: 0.7873 | g_loss: 3.3741
2023-06-03 21:43:52 | Epoch [3/50] | Batch 110/509 | d_loss: 0.7883 | g_loss: 2.3894
2023-06-03 21:43:54 | Epoch [3/50] | Batch 115/509 | d_loss: 0.6149 | g_loss: 3.2505
2023-06-03 21:43:55 | Epoch [3/50] | Batch 120/509 | d_loss: 0.6106 | g_loss: 2.7791
2023-06-03 21:43:57 | Epoch [3/50] | Batch 125/509 | d_loss: 0.7845 | g_loss: 2.1748
2023-06-03 21:43:59 | Epoch [3/50] | Batch 130/509 | d_loss: 0.8881 | g_loss: 5.1247
2023-06-03 21:44:00 | Epoch [3/50] | Batch 135/509 | d_loss: 0.6662 | g_loss: 3.8243
2023-06-03 21:44:02 | Epoch [3/50] | Batch 140/509 | d_loss: 0.7650 | g_loss: 3.5969
2023-06-03 21:44:04 | Epoch [3/50] | Batch 145/509 | d_loss: 0.5786 | g_loss: 3.8619
2023-06-03 21:44:05 | Epoch [3/50] | Batch 150/509 | d_loss: 0.7048 | g_loss: 3.5414
2023-06-03 21:44:07 | Epoch [3/50] | Batch 155/509 | d_loss: 0.6968 | g_loss: 1.6733
2023-06-03 21:44:09 | Epoch [3/50] | Batch 160/509 | d_loss: 0.6118 | g_loss: 2.7877
2023-06-03 21:44:10 | Epoch [3/50] | Batch 165/509 | d_loss: 0.7455 | g_loss: 2.0837
2023-06-03 21:44:12 | Epoch [3/50] | Batch 170/509 | d_loss: 0.7213 | g_loss: 2.2662
2023-06-03 21:44:13 | Epoch [3/50] | Batch 175/509 | d_loss: 0.6465 | g_loss: 3.3709
2023-06-03 21:44:15 | Epoch [3/50] | Batch 180/509 | d_loss: 0.6907 | g_loss: 2.1303
2023-06-03 21:44:17 | Epoch [3/50] | Batch 185/509 | d_loss: 0.6225 | g_loss: 2.6345
2023-06-03 21:44:18 | Epoch [3/50] | Batch 190/509 | d_loss: 0.5347 | g_loss: 3.2344
2023-06-03 21:44:20 | Epoch [3/50] | Batch 195/509 | d_loss: 0.8138 | g_loss: 4.6330
2023-06-03 21:44:22 | Epoch [3/50] | Batch 200/509 | d_loss: 0.7093 | g_loss: 2.9173
2023-06-03 21:44:23 | Epoch [3/50] | Batch 205/509 | d_loss: 0.9484 | g_loss: 1.7994
2023-06-03 21:44:25 | Epoch [3/50] | Batch 210/509 | d_loss: 0.5287 | g_loss: 3.4162
2023-06-03 21:44:26 | Epoch [3/50] | Batch 215/509 | d_loss: 0.7052 | g_loss: 2.7505
2023-06-03 21:44:28 | Epoch [3/50] | Batch 220/509 | d_loss: 0.7275 | g_loss: 3.6262
2023-06-03 21:44:30 | Epoch [3/50] | Batch 225/509 | d_loss: 1.5394 | g_loss: 5.8971
2023-06-03 21:44:31 | Epoch [3/50] | Batch 230/509 | d_loss: 1.2319 | g_loss: 5.8872
2023-06-03 21:44:33 | Epoch [3/50] | Batch 235/509 | d_loss: 0.7147 | g_loss: 3.7983
2023-06-03 21:44:35 | Epoch [3/50] | Batch 240/509 | d_loss: 0.6217 | g_loss: 3.2009
2023-06-03 21:44:36 | Epoch [3/50] | Batch 245/509 | d_loss: 0.7645 | g_loss: 1.8219
2023-06-03 21:44:38 | Epoch [3/50] | Batch 250/509 | d_loss: 0.6299 | g_loss: 2.6311
2023-06-03 21:44:40 | Epoch [3/50] | Batch 255/509 | d_loss: 1.1237 | g_loss: 5.2219
2023-06-03 21:44:41 | Epoch [3/50] | Batch 260/509 | d_loss: 0.5742 | g_loss: 3.4901
2023-06-03 21:44:43 | Epoch [3/50] | Batch 265/509 | d_loss: 0.8576 | g_loss: 1.7851
2023-06-03 21:44:44 | Epoch [3/50] | Batch 270/509 | d_loss: 0.7677 | g_loss: 2.3278
2023-06-03 21:44:46 | Epoch [3/50] | Batch 275/509 | d_loss: 0.7053 | g_loss: 3.7606
2023-06-03 21:44:48 | Epoch [3/50] | Batch 280/509 | d_loss: 0.7218 | g_loss: 2.7007
2023-06-03 21:44:49 | Epoch [3/50] | Batch 285/509 | d_loss: 1.0753 | g_loss: 5.4845
2023-06-03 21:44:51 | Epoch [3/50] | Batch 290/509 | d_loss: 0.7416 | g_loss: 4.0104
2023-06-03 21:44:53 | Epoch [3/50] | Batch 295/509 | d_loss: 0.6334 | g_loss: 2.6632
2023-06-03 21:44:54 | Epoch [3/50] | Batch 300/509 | d_loss: 0.6681 | g_loss: 4.0600
2023-06-03 21:44:56 | Epoch [3/50] | Batch 305/509 | d_loss: 0.8862 | g_loss: 4.8552
2023-06-03 21:44:57 | Epoch [3/50] | Batch 310/509 | d_loss: 0.7753 | g_loss: 1.7322
2023-06-03 21:44:59 | Epoch [3/50] | Batch 315/509 | d_loss: 1.1677 | g_loss: 5.6317
2023-06-03 21:45:01 | Epoch [3/50] | Batch 320/509 | d_loss: 0.5397 | g_loss: 2.1749
2023-06-03 21:45:02 | Epoch [3/50] | Batch 325/509 | d_loss: 0.6235 | g_loss: 2.7947
2023-06-03 21:45:04 | Epoch [3/50] | Batch 330/509 | d_loss: 0.6448 | g_loss: 3.2963
2023-06-03 21:45:06 | Epoch [3/50] | Batch 335/509 | d_loss: 1.0316 | g_loss: 2.4022
2023-06-03 21:45:07 | Epoch [3/50] | Batch 340/509 | d_loss: 0.6276 | g_loss: 2.5742
2023-06-03 21:45:09 | Epoch [3/50] | Batch 345/509 | d_loss: 0.5768 | g_loss: 2.6617
2023-06-03 21:45:11 | Epoch [3/50] | Batch 350/509 | d_loss: 1.2502 | g_loss: 5.7152
2023-06-03 21:45:12 | Epoch [3/50] | Batch 355/509 | d_loss: 0.8859 | g_loss: 3.9128
2023-06-03 21:45:14 | Epoch [3/50] | Batch 360/509 | d_loss: 0.8043 | g_loss: 4.5533
2023-06-03 21:45:15 | Epoch [3/50] | Batch 365/509 | d_loss: 0.5191 | g_loss: 3.2515
2023-06-03 21:45:17 | Epoch [3/50] | Batch 370/509 | d_loss: 0.5131 | g_loss: 4.0065
2023-06-03 21:45:19 | Epoch [3/50] | Batch 375/509 | d_loss: 0.5271 | g_loss: 3.6817
2023-06-03 21:45:20 | Epoch [3/50] | Batch 380/509 | d_loss: 0.6180 | g_loss: 2.6192
2023-06-03 21:45:22 | Epoch [3/50] | Batch 385/509 | d_loss: 0.6041 | g_loss: 2.3187
2023-06-03 21:45:24 | Epoch [3/50] | Batch 390/509 | d_loss: 0.5125 | g_loss: 2.4145
2023-06-03 21:45:25 | Epoch [3/50] | Batch 395/509 | d_loss: 0.9220 | g_loss: 5.2995
2023-06-03 21:45:27 | Epoch [3/50] | Batch 400/509 | d_loss: 0.5847 | g_loss: 3.1408
2023-06-03 21:45:28 | Epoch [3/50] | Batch 405/509 | d_loss: 0.7125 | g_loss: 2.2250
2023-06-03 21:45:30 | Epoch [3/50] | Batch 410/509 | d_loss: 0.5863 | g_loss: 2.9659
2023-06-03 21:45:32 | Epoch [3/50] | Batch 415/509 | d_loss: 0.5340 | g_loss: 3.2684
2023-06-03 21:45:33 | Epoch [3/50] | Batch 420/509 | d_loss: 0.7023 | g_loss: 4.9916
2023-06-03 21:45:35 | Epoch [3/50] | Batch 425/509 | d_loss: 0.7625 | g_loss: 5.0783
2023-06-03 21:45:37 | Epoch [3/50] | Batch 430/509 | d_loss: 0.5612 | g_loss: 3.2206
2023-06-03 21:45:38 | Epoch [3/50] | Batch 435/509 | d_loss: 0.6147 | g_loss: 4.7659
2023-06-03 21:45:40 | Epoch [3/50] | Batch 440/509 | d_loss: 1.1851 | g_loss: 4.3669
2023-06-03 21:45:42 | Epoch [3/50] | Batch 445/509 | d_loss: 0.7346 | g_loss: 4.1287
2023-06-03 21:45:43 | Epoch [3/50] | Batch 450/509 | d_loss: 0.4944 | g_loss: 3.8494
2023-06-03 21:45:45 | Epoch [3/50] | Batch 455/509 | d_loss: 0.7108 | g_loss: 3.9216
2023-06-03 21:45:46 | Epoch [3/50] | Batch 460/509 | d_loss: 0.8381 | g_loss: 3.3971
2023-06-03 21:45:48 | Epoch [3/50] | Batch 465/509 | d_loss: 0.6244 | g_loss: 2.2794
2023-06-03 21:45:50 | Epoch [3/50] | Batch 470/509 | d_loss: 0.5169 | g_loss: 2.9526
2023-06-03 21:45:51 | Epoch [3/50] | Batch 475/509 | d_loss: 0.5442 | g_loss: 3.4392
2023-06-03 21:45:53 | Epoch [3/50] | Batch 480/509 | d_loss: 0.6608 | g_loss: 2.3173
2023-06-03 21:45:55 | Epoch [3/50] | Batch 485/509 | d_loss: 0.5700 | g_loss: 2.4048
2023-06-03 21:45:56 | Epoch [3/50] | Batch 490/509 | d_loss: 0.7340 | g_loss: 5.4971
2023-06-03 21:45:58 | Epoch [3/50] | Batch 495/509 | d_loss: 0.9033 | g_loss: 1.1636
2023-06-03 21:45:59 | Epoch [3/50] | Batch 500/509 | d_loss: 0.6615 | g_loss: 3.0735
2023-06-03 21:46:01 | Epoch [3/50] | Batch 505/509 | d_loss: 0.8166 | g_loss: 1.7949

2023-06-03 21:46:04 | Epoch [4/50] | Batch 0/509 | d_loss: 0.6472 | g_loss: 2.7508
2023-06-03 21:46:05 | Epoch [4/50] | Batch 5/509 | d_loss: 0.8732 | g_loss: 1.8801
2023-06-03 21:46:07 | Epoch [4/50] | Batch 10/509 | d_loss: 0.5075 | g_loss: 3.2646
2023-06-03 21:46:09 | Epoch [4/50] | Batch 15/509 | d_loss: 0.8752 | g_loss: 2.7704
2023-06-03 21:46:10 | Epoch [4/50] | Batch 20/509 | d_loss: 1.0238 | g_loss: 4.8691
2023-06-03 21:46:12 | Epoch [4/50] | Batch 25/509 | d_loss: 0.5561 | g_loss: 2.5653
2023-06-03 21:46:13 | Epoch [4/50] | Batch 30/509 | d_loss: 0.5365 | g_loss: 3.2961
2023-06-03 21:46:15 | Epoch [4/50] | Batch 35/509 | d_loss: 0.7391 | g_loss: 4.2413
2023-06-03 21:46:17 | Epoch [4/50] | Batch 40/509 | d_loss: 0.5027 | g_loss: 3.0971
2023-06-03 21:46:18 | Epoch [4/50] | Batch 45/509 | d_loss: 0.5452 | g_loss: 3.1175
2023-06-03 21:46:20 | Epoch [4/50] | Batch 50/509 | d_loss: 0.8685 | g_loss: 5.2794
2023-06-03 21:46:22 | Epoch [4/50] | Batch 55/509 | d_loss: 0.6886 | g_loss: 4.8339
2023-06-03 21:46:23 | Epoch [4/50] | Batch 60/509 | d_loss: 0.5323 | g_loss: 3.9181
2023-06-03 21:46:25 | Epoch [4/50] | Batch 65/509 | d_loss: 0.9214 | g_loss: 1.8783
2023-06-03 21:46:27 | Epoch [4/50] | Batch 70/509 | d_loss: 0.6113 | g_loss: 2.8909
2023-06-03 21:46:28 | Epoch [4/50] | Batch 75/509 | d_loss: 0.5392 | g_loss: 3.8523
2023-06-03 21:46:30 | Epoch [4/50] | Batch 80/509 | d_loss: 0.5151 | g_loss: 3.4651
2023-06-03 21:46:31 | Epoch [4/50] | Batch 85/509 | d_loss: 0.7651 | g_loss: 6.0667
2023-06-03 21:46:33 | Epoch [4/50] | Batch 90/509 | d_loss: 0.5700 | g_loss: 4.3364
2023-06-03 21:46:35 | Epoch [4/50] | Batch 95/509 | d_loss: 0.4554 | g_loss: 3.4673
2023-06-03 21:46:36 | Epoch [4/50] | Batch 100/509 | d_loss: 1.5825 | g_loss: 6.7186
2023-06-03 21:46:38 | Epoch [4/50] | Batch 105/509 | d_loss: 0.8005 | g_loss: 3.5120
2023-06-03 21:46:40 | Epoch [4/50] | Batch 110/509 | d_loss: 0.5776 | g_loss: 3.8532
2023-06-03 21:46:41 | Epoch [4/50] | Batch 115/509 | d_loss: 0.5591 | g_loss: 3.1247
2023-06-03 21:46:43 | Epoch [4/50] | Batch 120/509 | d_loss: 0.5669 | g_loss: 3.1233
2023-06-03 21:46:44 | Epoch [4/50] | Batch 125/509 | d_loss: 0.7452 | g_loss: 1.9870
2023-06-03 21:46:46 | Epoch [4/50] | Batch 130/509 | d_loss: 0.5533 | g_loss: 3.0217
2023-06-03 21:46:48 | Epoch [4/50] | Batch 135/509 | d_loss: 0.8200 | g_loss: 4.6195
2023-06-03 21:46:49 | Epoch [4/50] | Batch 140/509 | d_loss: 0.5647 | g_loss: 4.2446
2023-06-03 21:46:51 | Epoch [4/50] | Batch 145/509 | d_loss: 0.6688 | g_loss: 3.3363
2023-06-03 21:46:53 | Epoch [4/50] | Batch 150/509 | d_loss: 0.5512 | g_loss: 3.2664
2023-06-03 21:46:54 | Epoch [4/50] | Batch 155/509 | d_loss: 0.5991 | g_loss: 2.7315
2023-06-03 21:46:56 | Epoch [4/50] | Batch 160/509 | d_loss: 0.6862 | g_loss: 3.4747
2023-06-03 21:46:58 | Epoch [4/50] | Batch 165/509 | d_loss: 0.5151 | g_loss: 2.9805
2023-06-03 21:46:59 | Epoch [4/50] | Batch 170/509 | d_loss: 0.5732 | g_loss: 4.1059
2023-06-03 21:47:01 | Epoch [4/50] | Batch 175/509 | d_loss: 0.4956 | g_loss: 3.4581
2023-06-03 21:47:02 | Epoch [4/50] | Batch 180/509 | d_loss: 0.5475 | g_loss: 4.1244
2023-06-03 21:47:04 | Epoch [4/50] | Batch 185/509 | d_loss: 0.5800 | g_loss: 4.5762
2023-06-03 21:47:06 | Epoch [4/50] | Batch 190/509 | d_loss: 0.4430 | g_loss: 4.0117
2023-06-03 21:47:07 | Epoch [4/50] | Batch 195/509 | d_loss: 0.5693 | g_loss: 1.7117
2023-06-03 21:47:09 | Epoch [4/50] | Batch 200/509 | d_loss: 0.7855 | g_loss: 2.3248
2023-06-03 21:47:11 | Epoch [4/50] | Batch 205/509 | d_loss: 0.8192 | g_loss: 2.3912
2023-06-03 21:47:12 | Epoch [4/50] | Batch 210/509 | d_loss: 0.8522 | g_loss: 3.4423
2023-06-03 21:47:14 | Epoch [4/50] | Batch 215/509 | d_loss: 0.5943 | g_loss: 2.4526
2023-06-03 21:47:16 | Epoch [4/50] | Batch 220/509 | d_loss: 0.6355 | g_loss: 2.8759
2023-06-03 21:47:17 | Epoch [4/50] | Batch 225/509 | d_loss: 0.8562 | g_loss: 4.6844
2023-06-03 21:47:19 | Epoch [4/50] | Batch 230/509 | d_loss: 0.5581 | g_loss: 3.2510
2023-06-03 21:47:20 | Epoch [4/50] | Batch 235/509 | d_loss: 0.5892 | g_loss: 2.7370
2023-06-03 21:47:22 | Epoch [4/50] | Batch 240/509 | d_loss: 0.6500 | g_loss: 3.5806
2023-06-03 21:47:24 | Epoch [4/50] | Batch 245/509 | d_loss: 0.7211 | g_loss: 5.0761
2023-06-03 21:47:25 | Epoch [4/50] | Batch 250/509 | d_loss: 0.4725 | g_loss: 3.8757
2023-06-03 21:47:27 | Epoch [4/50] | Batch 255/509 | d_loss: 0.6391 | g_loss: 2.2861
2023-06-03 21:47:29 | Epoch [4/50] | Batch 260/509 | d_loss: 0.4966 | g_loss: 3.1921
2023-06-03 21:47:30 | Epoch [4/50] | Batch 265/509 | d_loss: 0.7265 | g_loss: 4.5371
2023-06-03 21:47:32 | Epoch [4/50] | Batch 270/509 | d_loss: 0.5364 | g_loss: 3.1956
2023-06-03 21:47:33 | Epoch [4/50] | Batch 275/509 | d_loss: 0.5304 | g_loss: 1.4276
2023-06-03 21:47:35 | Epoch [4/50] | Batch 280/509 | d_loss: 0.7596 | g_loss: 1.7231
2023-06-03 21:47:37 | Epoch [4/50] | Batch 285/509 | d_loss: 0.8711 | g_loss: 2.6480
2023-06-03 21:47:38 | Epoch [4/50] | Batch 290/509 | d_loss: 0.8837 | g_loss: 2.3698
2023-06-03 21:47:40 | Epoch [4/50] | Batch 295/509 | d_loss: 0.6074 | g_loss: 2.6608
2023-06-03 21:47:42 | Epoch [4/50] | Batch 300/509 | d_loss: 0.6705 | g_loss: 2.2776
2023-06-03 21:47:43 | Epoch [4/50] | Batch 305/509 | d_loss: 0.6278 | g_loss: 2.8469
2023-06-03 21:47:45 | Epoch [4/50] | Batch 310/509 | d_loss: 0.5603 | g_loss: 2.6929
2023-06-03 21:47:47 | Epoch [4/50] | Batch 315/509 | d_loss: 0.5000 | g_loss: 3.5822
2023-06-03 21:47:48 | Epoch [4/50] | Batch 320/509 | d_loss: 0.4566 | g_loss: 4.0401
2023-06-03 21:47:50 | Epoch [4/50] | Batch 325/509 | d_loss: 0.5733 | g_loss: 2.7905
2023-06-03 21:47:51 | Epoch [4/50] | Batch 330/509 | d_loss: 0.6824 | g_loss: 4.1583
2023-06-03 21:47:53 | Epoch [4/50] | Batch 335/509 | d_loss: 0.6667 | g_loss: 2.0785
2023-06-03 21:47:55 | Epoch [4/50] | Batch 340/509 | d_loss: 0.6196 | g_loss: 2.0771
2023-06-03 21:47:56 | Epoch [4/50] | Batch 345/509 | d_loss: 0.5379 | g_loss: 2.5132
2023-06-03 21:47:58 | Epoch [4/50] | Batch 350/509 | d_loss: 0.6057 | g_loss: 2.9387
2023-06-03 21:48:00 | Epoch [4/50] | Batch 355/509 | d_loss: 0.4766 | g_loss: 2.9796
2023-06-03 21:48:01 | Epoch [4/50] | Batch 360/509 | d_loss: 0.6221 | g_loss: 2.2010
2023-06-03 21:48:03 | Epoch [4/50] | Batch 365/509 | d_loss: 0.5132 | g_loss: 2.8890
2023-06-03 21:48:05 | Epoch [4/50] | Batch 370/509 | d_loss: 0.7949 | g_loss: 3.1794
2023-06-03 21:48:06 | Epoch [4/50] | Batch 375/509 | d_loss: 0.4828 | g_loss: 3.1440
2023-06-03 21:48:08 | Epoch [4/50] | Batch 380/509 | d_loss: 0.5175 | g_loss: 2.2862
2023-06-03 21:48:09 | Epoch [4/50] | Batch 385/509 | d_loss: 0.4626 | g_loss: 3.3064
2023-06-03 21:48:11 | Epoch [4/50] | Batch 390/509 | d_loss: 0.4517 | g_loss: 4.0777
2023-06-03 21:48:13 | Epoch [4/50] | Batch 395/509 | d_loss: 0.5757 | g_loss: 3.2259
2023-06-03 21:48:14 | Epoch [4/50] | Batch 400/509 | d_loss: 0.5758 | g_loss: 2.4096
2023-06-03 21:48:16 | Epoch [4/50] | Batch 405/509 | d_loss: 0.5280 | g_loss: 3.2736
2023-06-03 21:48:18 | Epoch [4/50] | Batch 410/509 | d_loss: 0.6529 | g_loss: 3.1843
2023-06-03 21:48:19 | Epoch [4/50] | Batch 415/509 | d_loss: 0.9612 | g_loss: 1.3389
2023-06-03 21:48:21 | Epoch [4/50] | Batch 420/509 | d_loss: 0.6743 | g_loss: 4.0667
2023-06-03 21:48:22 | Epoch [4/50] | Batch 425/509 | d_loss: 0.6754 | g_loss: 3.9966
2023-06-03 21:48:24 | Epoch [4/50] | Batch 430/509 | d_loss: 0.4707 | g_loss: 2.9086
2023-06-03 21:48:26 | Epoch [4/50] | Batch 435/509 | d_loss: 1.2424 | g_loss: 2.0636
2023-06-03 21:48:27 | Epoch [4/50] | Batch 440/509 | d_loss: 0.5789 | g_loss: 2.4622
2023-06-03 21:48:29 | Epoch [4/50] | Batch 445/509 | d_loss: 1.2182 | g_loss: 1.1767
2023-06-03 21:48:31 | Epoch [4/50] | Batch 450/509 | d_loss: 0.6435 | g_loss: 2.1416
2023-06-03 21:48:32 | Epoch [4/50] | Batch 455/509 | d_loss: 0.5195 | g_loss: 2.7434
2023-06-03 21:48:34 | Epoch [4/50] | Batch 460/509 | d_loss: 0.6613 | g_loss: 2.1455
2023-06-03 21:48:36 | Epoch [4/50] | Batch 465/509 | d_loss: 0.6066 | g_loss: 3.3146
2023-06-03 21:48:37 | Epoch [4/50] | Batch 470/509 | d_loss: 0.6539 | g_loss: 3.8264
2023-06-03 21:48:39 | Epoch [4/50] | Batch 475/509 | d_loss: 0.5484 | g_loss: 3.0200
2023-06-03 21:48:40 | Epoch [4/50] | Batch 480/509 | d_loss: 0.7442 | g_loss: 5.7706
2023-06-03 21:48:42 | Epoch [4/50] | Batch 485/509 | d_loss: 0.7194 | g_loss: 5.1763
2023-06-03 21:48:44 | Epoch [4/50] | Batch 490/509 | d_loss: 0.5378 | g_loss: 4.4847
2023-06-03 21:48:45 | Epoch [4/50] | Batch 495/509 | d_loss: 0.7952 | g_loss: 4.9133
2023-06-03 21:48:47 | Epoch [4/50] | Batch 500/509 | d_loss: 0.5740 | g_loss: 3.6126
2023-06-03 21:48:49 | Epoch [4/50] | Batch 505/509 | d_loss: 0.6327 | g_loss: 1.8622

2023-06-03 21:48:51 | Epoch [5/50] | Batch 0/509 | d_loss: 0.3935 | g_loss: 4.3484
2023-06-03 21:48:53 | Epoch [5/50] | Batch 5/509 | d_loss: 0.7415 | g_loss: 4.5296
2023-06-03 21:48:54 | Epoch [5/50] | Batch 10/509 | d_loss: 0.5568 | g_loss: 2.2751
2023-06-03 21:48:56 | Epoch [5/50] | Batch 15/509 | d_loss: 0.5227 | g_loss: 2.1914
2023-06-03 21:48:58 | Epoch [5/50] | Batch 20/509 | d_loss: 0.5387 | g_loss: 3.8079
2023-06-03 21:48:59 | Epoch [5/50] | Batch 25/509 | d_loss: 0.4982 | g_loss: 3.3680
2023-06-03 21:49:01 | Epoch [5/50] | Batch 30/509 | d_loss: 1.1596 | g_loss: 6.1887
2023-06-03 21:49:02 | Epoch [5/50] | Batch 35/509 | d_loss: 0.6744 | g_loss: 3.7342
2023-06-03 21:49:04 | Epoch [5/50] | Batch 40/509 | d_loss: 0.4360 | g_loss: 3.0047
2023-06-03 21:49:06 | Epoch [5/50] | Batch 45/509 | d_loss: 0.5524 | g_loss: 3.0629
2023-06-03 21:49:07 | Epoch [5/50] | Batch 50/509 | d_loss: 0.6669 | g_loss: 4.3610
2023-06-03 21:49:09 | Epoch [5/50] | Batch 55/509 | d_loss: 0.7972 | g_loss: 1.8992
2023-06-03 21:49:11 | Epoch [5/50] | Batch 60/509 | d_loss: 0.6094 | g_loss: 2.1966
2023-06-03 21:49:12 | Epoch [5/50] | Batch 65/509 | d_loss: 0.7108 | g_loss: 3.2742
2023-06-03 21:49:14 | Epoch [5/50] | Batch 70/509 | d_loss: 0.5810 | g_loss: 2.2367
2023-06-03 21:49:15 | Epoch [5/50] | Batch 75/509 | d_loss: 0.4696 | g_loss: 3.7224
2023-06-03 21:49:17 | Epoch [5/50] | Batch 80/509 | d_loss: 0.6179 | g_loss: 4.0979
2023-06-03 21:49:19 | Epoch [5/50] | Batch 85/509 | d_loss: 0.4516 | g_loss: 4.0692
2023-06-03 21:49:20 | Epoch [5/50] | Batch 90/509 | d_loss: 0.4203 | g_loss: 3.8021
2023-06-03 21:49:22 | Epoch [5/50] | Batch 95/509 | d_loss: 0.6501 | g_loss: 4.3204
2023-06-03 21:49:24 | Epoch [5/50] | Batch 100/509 | d_loss: 0.6135 | g_loss: 4.2355
2023-06-03 21:49:25 | Epoch [5/50] | Batch 105/509 | d_loss: 0.6861 | g_loss: 4.0803
2023-06-03 21:49:27 | Epoch [5/50] | Batch 110/509 | d_loss: 0.5612 | g_loss: 3.3575
2023-06-03 21:49:29 | Epoch [5/50] | Batch 115/509 | d_loss: 0.5160 | g_loss: 2.6356
2023-06-03 21:49:30 | Epoch [5/50] | Batch 120/509 | d_loss: 0.5462 | g_loss: 2.7295
2023-06-03 21:49:32 | Epoch [5/50] | Batch 125/509 | d_loss: 0.5453 | g_loss: 4.1385
2023-06-03 21:49:33 | Epoch [5/50] | Batch 130/509 | d_loss: 0.7652 | g_loss: 4.8078
2023-06-03 21:49:35 | Epoch [5/50] | Batch 135/509 | d_loss: 1.3538 | g_loss: 4.8863
2023-06-03 21:49:37 | Epoch [5/50] | Batch 140/509 | d_loss: 0.5602 | g_loss: 2.7255
2023-06-03 21:49:38 | Epoch [5/50] | Batch 145/509 | d_loss: 0.5572 | g_loss: 3.1053
2023-06-03 21:49:40 | Epoch [5/50] | Batch 150/509 | d_loss: 0.4825 | g_loss: 3.5136
2023-06-03 21:49:42 | Epoch [5/50] | Batch 155/509 | d_loss: 0.7531 | g_loss: 4.0302
2023-06-03 21:49:43 | Epoch [5/50] | Batch 160/509 | d_loss: 0.5200 | g_loss: 3.3355
2023-06-03 21:49:45 | Epoch [5/50] | Batch 165/509 | d_loss: 0.8898 | g_loss: 2.0944
2023-06-03 21:49:47 | Epoch [5/50] | Batch 170/509 | d_loss: 0.4875 | g_loss: 3.6732
2023-06-03 21:49:48 | Epoch [5/50] | Batch 175/509 | d_loss: 1.1846 | g_loss: 2.5270
2023-06-03 21:49:50 | Epoch [5/50] | Batch 180/509 | d_loss: 0.5295 | g_loss: 3.8114
2023-06-03 21:49:51 | Epoch [5/50] | Batch 185/509 | d_loss: 0.5682 | g_loss: 3.6339
2023-06-03 21:49:53 | Epoch [5/50] | Batch 190/509 | d_loss: 0.7624 | g_loss: 2.1421
2023-06-03 21:49:55 | Epoch [5/50] | Batch 195/509 | d_loss: 0.5423 | g_loss: 4.7627
2023-06-03 21:49:56 | Epoch [5/50] | Batch 200/509 | d_loss: 0.5991 | g_loss: 3.3271
2023-06-03 21:49:58 | Epoch [5/50] | Batch 205/509 | d_loss: 0.6537 | g_loss: 3.0054
2023-06-03 21:50:00 | Epoch [5/50] | Batch 210/509 | d_loss: 0.4782 | g_loss: 3.1266
2023-06-03 21:50:01 | Epoch [5/50] | Batch 215/509 | d_loss: 0.6055 | g_loss: 3.5370
2023-06-03 21:50:03 | Epoch [5/50] | Batch 220/509 | d_loss: 0.4880 | g_loss: 1.8594
2023-06-03 21:50:05 | Epoch [5/50] | Batch 225/509 | d_loss: 0.6493 | g_loss: 3.1278
2023-06-03 21:50:06 | Epoch [5/50] | Batch 230/509 | d_loss: 0.6049 | g_loss: 2.9619
2023-06-03 21:50:08 | Epoch [5/50] | Batch 235/509 | d_loss: 0.5779 | g_loss: 4.1360
2023-06-03 21:50:09 | Epoch [5/50] | Batch 240/509 | d_loss: 0.5676 | g_loss: 2.6375
2023-06-03 21:50:11 | Epoch [5/50] | Batch 245/509 | d_loss: 0.4383 | g_loss: 2.6408
2023-06-03 21:50:13 | Epoch [5/50] | Batch 250/509 | d_loss: 0.5804 | g_loss: 4.6317
2023-06-03 21:50:14 | Epoch [5/50] | Batch 255/509 | d_loss: 0.6129 | g_loss: 4.2289
2023-06-03 21:50:16 | Epoch [5/50] | Batch 260/509 | d_loss: 0.4488 | g_loss: 3.9005
2023-06-03 21:50:18 | Epoch [5/50] | Batch 265/509 | d_loss: 0.7049 | g_loss: 2.5255
2023-06-03 21:50:19 | Epoch [5/50] | Batch 270/509 | d_loss: 0.5229 | g_loss: 3.1691
2023-06-03 21:50:21 | Epoch [5/50] | Batch 275/509 | d_loss: 0.7544 | g_loss: 4.4312
2023-06-03 21:50:22 | Epoch [5/50] | Batch 280/509 | d_loss: 0.7040 | g_loss: 3.3790
2023-06-03 21:50:24 | Epoch [5/50] | Batch 285/509 | d_loss: 0.5338 | g_loss: 3.0389
2023-06-03 21:50:26 | Epoch [5/50] | Batch 290/509 | d_loss: 0.4789 | g_loss: 3.5924
2023-06-03 21:50:27 | Epoch [5/50] | Batch 295/509 | d_loss: 0.4200 | g_loss: 3.9842
2023-06-03 21:50:29 | Epoch [5/50] | Batch 300/509 | d_loss: 3.6414 | g_loss: 3.0166
2023-06-03 21:50:31 | Epoch [5/50] | Batch 305/509 | d_loss: 0.7343 | g_loss: 3.2123
2023-06-03 21:50:32 | Epoch [5/50] | Batch 310/509 | d_loss: 0.6765 | g_loss: 3.8805
2023-06-03 21:50:34 | Epoch [5/50] | Batch 315/509 | d_loss: 0.4591 | g_loss: 3.9753
2023-06-03 21:50:36 | Epoch [5/50] | Batch 320/509 | d_loss: 0.8624 | g_loss: 3.8854
2023-06-03 21:50:37 | Epoch [5/50] | Batch 325/509 | d_loss: 0.7033 | g_loss: 3.9012
2023-06-03 21:50:39 | Epoch [5/50] | Batch 330/509 | d_loss: 0.7401 | g_loss: 4.1418
2023-06-03 21:50:40 | Epoch [5/50] | Batch 335/509 | d_loss: 0.6999 | g_loss: 1.9757
2023-06-03 21:50:42 | Epoch [5/50] | Batch 340/509 | d_loss: 0.5255 | g_loss: 3.7342
2023-06-03 21:50:44 | Epoch [5/50] | Batch 345/509 | d_loss: 0.7075 | g_loss: 2.4187
2023-06-03 21:50:45 | Epoch [5/50] | Batch 350/509 | d_loss: 0.8254 | g_loss: 5.3497
2023-06-03 21:50:47 | Epoch [5/50] | Batch 355/509 | d_loss: 0.5198 | g_loss: 2.6961
2023-06-03 21:50:49 | Epoch [5/50] | Batch 360/509 | d_loss: 0.6837 | g_loss: 2.1591
2023-06-03 21:50:50 | Epoch [5/50] | Batch 365/509 | d_loss: 0.5984 | g_loss: 3.7551
2023-06-03 21:50:52 | Epoch [5/50] | Batch 370/509 | d_loss: 0.5499 | g_loss: 3.6443
2023-06-03 21:50:54 | Epoch [5/50] | Batch 375/509 | d_loss: 0.9265 | g_loss: 2.8256
2023-06-03 21:50:55 | Epoch [5/50] | Batch 380/509 | d_loss: 1.8411 | g_loss: 1.7484
2023-06-03 21:50:57 | Epoch [5/50] | Batch 385/509 | d_loss: 0.7242 | g_loss: 2.5042
2023-06-03 21:50:59 | Epoch [5/50] | Batch 390/509 | d_loss: 0.4852 | g_loss: 2.9554
2023-06-03 21:51:00 | Epoch [5/50] | Batch 395/509 | d_loss: 0.7127 | g_loss: 4.1521
2023-06-03 21:51:02 | Epoch [5/50] | Batch 400/509 | d_loss: 0.7977 | g_loss: 2.2191
2023-06-03 21:51:04 | Epoch [5/50] | Batch 405/509 | d_loss: 0.4218 | g_loss: 3.8456
2023-06-03 21:51:05 | Epoch [5/50] | Batch 410/509 | d_loss: 0.5055 | g_loss: 2.3115
2023-06-03 21:51:07 | Epoch [5/50] | Batch 415/509 | d_loss: 0.4323 | g_loss: 3.3574
2023-06-03 21:51:09 | Epoch [5/50] | Batch 420/509 | d_loss: 0.6709 | g_loss: 3.2539
2023-06-03 21:51:10 | Epoch [5/50] | Batch 425/509 | d_loss: 1.8216 | g_loss: 5.9882
2023-06-03 21:51:12 | Epoch [5/50] | Batch 430/509 | d_loss: 0.6377 | g_loss: 1.9368
2023-06-03 21:51:13 | Epoch [5/50] | Batch 435/509 | d_loss: 0.7135 | g_loss: 3.1758
2023-06-03 21:51:15 | Epoch [5/50] | Batch 440/509 | d_loss: 0.7745 | g_loss: 3.7603
2023-06-03 21:51:17 | Epoch [5/50] | Batch 445/509 | d_loss: 0.6442 | g_loss: 3.4775
2023-06-03 21:51:18 | Epoch [5/50] | Batch 450/509 | d_loss: 0.4938 | g_loss: 2.8298
2023-06-03 21:51:20 | Epoch [5/50] | Batch 455/509 | d_loss: 0.4493 | g_loss: 2.6658
2023-06-03 21:51:22 | Epoch [5/50] | Batch 460/509 | d_loss: 0.8046 | g_loss: 6.8397
2023-06-03 21:51:23 | Epoch [5/50] | Batch 465/509 | d_loss: 0.5234 | g_loss: 3.5628
2023-06-03 21:51:25 | Epoch [5/50] | Batch 470/509 | d_loss: 0.6234 | g_loss: 2.6765
2023-06-03 21:51:27 | Epoch [5/50] | Batch 475/509 | d_loss: 0.9483 | g_loss: 5.5890
2023-06-03 21:51:28 | Epoch [5/50] | Batch 480/509 | d_loss: 0.4919 | g_loss: 2.7053
2023-06-03 21:51:30 | Epoch [5/50] | Batch 485/509 | d_loss: 0.5828 | g_loss: 2.7339
2023-06-03 21:51:32 | Epoch [5/50] | Batch 490/509 | d_loss: 0.9067 | g_loss: 4.9629
2023-06-03 21:51:33 | Epoch [5/50] | Batch 495/509 | d_loss: 0.4027 | g_loss: 4.5397
2023-06-03 21:51:35 | Epoch [5/50] | Batch 500/509 | d_loss: 0.4264 | g_loss: 3.4066
2023-06-03 21:51:36 | Epoch [5/50] | Batch 505/509 | d_loss: 1.3268 | g_loss: 6.4902

2023-06-03 21:51:39 | Epoch [6/50] | Batch 0/509 | d_loss: 0.6752 | g_loss: 2.2473
2023-06-03 21:51:41 | Epoch [6/50] | Batch 5/509 | d_loss: 0.4410 | g_loss: 3.6377
2023-06-03 21:51:42 | Epoch [6/50] | Batch 10/509 | d_loss: 0.6905 | g_loss: 4.4320
2023-06-03 21:51:44 | Epoch [6/50] | Batch 15/509 | d_loss: 0.4569 | g_loss: 3.3058
2023-06-03 21:51:46 | Epoch [6/50] | Batch 20/509 | d_loss: 0.4342 | g_loss: 4.1861
2023-06-03 21:51:47 | Epoch [6/50] | Batch 25/509 | d_loss: 0.3827 | g_loss: 4.1642
2023-06-03 21:51:49 | Epoch [6/50] | Batch 30/509 | d_loss: 1.2549 | g_loss: 5.2491
2023-06-03 21:51:51 | Epoch [6/50] | Batch 35/509 | d_loss: 0.5679 | g_loss: 1.9083
2023-06-03 21:51:52 | Epoch [6/50] | Batch 40/509 | d_loss: 0.4335 | g_loss: 3.4931
2023-06-03 21:51:54 | Epoch [6/50] | Batch 45/509 | d_loss: 0.5595 | g_loss: 2.8803
2023-06-03 21:51:56 | Epoch [6/50] | Batch 50/509 | d_loss: 0.3954 | g_loss: 4.5489
2023-06-03 21:51:57 | Epoch [6/50] | Batch 55/509 | d_loss: 0.5239 | g_loss: 3.5868
2023-06-03 21:51:59 | Epoch [6/50] | Batch 60/509 | d_loss: 0.8241 | g_loss: 6.5472
2023-06-03 21:52:01 | Epoch [6/50] | Batch 65/509 | d_loss: 0.6938 | g_loss: 1.9866
2023-06-03 21:52:02 | Epoch [6/50] | Batch 70/509 | d_loss: 0.4281 | g_loss: 2.6571
2023-06-03 21:52:04 | Epoch [6/50] | Batch 75/509 | d_loss: 0.5531 | g_loss: 3.6523
2023-06-03 21:52:06 | Epoch [6/50] | Batch 80/509 | d_loss: 0.5384 | g_loss: 2.3170
2023-06-03 21:52:07 | Epoch [6/50] | Batch 85/509 | d_loss: 0.4996 | g_loss: 3.0474
2023-06-03 21:52:09 | Epoch [6/50] | Batch 90/509 | d_loss: 0.4254 | g_loss: 3.3875
2023-06-03 21:52:11 | Epoch [6/50] | Batch 95/509 | d_loss: 0.9554 | g_loss: 3.6782
2023-06-03 21:52:12 | Epoch [6/50] | Batch 100/509 | d_loss: 0.3844 | g_loss: 3.1237
2023-06-03 21:52:14 | Epoch [6/50] | Batch 105/509 | d_loss: 0.5388 | g_loss: 3.7162
2023-06-03 21:52:15 | Epoch [6/50] | Batch 110/509 | d_loss: 0.5225 | g_loss: 2.3407
2023-06-03 21:52:17 | Epoch [6/50] | Batch 115/509 | d_loss: 0.6586 | g_loss: 3.9709
2023-06-03 21:52:19 | Epoch [6/50] | Batch 120/509 | d_loss: 0.4773 | g_loss: 3.7050
2023-06-03 21:52:20 | Epoch [6/50] | Batch 125/509 | d_loss: 0.3895 | g_loss: 3.1372
2023-06-03 21:52:22 | Epoch [6/50] | Batch 130/509 | d_loss: 0.5610 | g_loss: 2.7343
2023-06-03 21:52:24 | Epoch [6/50] | Batch 135/509 | d_loss: 0.6057 | g_loss: 3.3879
2023-06-03 21:52:25 | Epoch [6/50] | Batch 140/509 | d_loss: 0.4984 | g_loss: 3.3272
2023-06-03 21:52:27 | Epoch [6/50] | Batch 145/509 | d_loss: 0.5590 | g_loss: 3.1752
2023-06-03 21:52:29 | Epoch [6/50] | Batch 150/509 | d_loss: 0.4742 | g_loss: 3.3360
2023-06-03 21:52:30 | Epoch [6/50] | Batch 155/509 | d_loss: 0.6085 | g_loss: 4.4193
2023-06-03 21:52:32 | Epoch [6/50] | Batch 160/509 | d_loss: 0.9739 | g_loss: 3.0755
2023-06-03 21:52:34 | Epoch [6/50] | Batch 165/509 | d_loss: 0.4510 | g_loss: 2.7693
2023-06-03 21:52:35 | Epoch [6/50] | Batch 170/509 | d_loss: 2.3928 | g_loss: 3.8312
2023-06-03 21:52:37 | Epoch [6/50] | Batch 175/509 | d_loss: 0.6006 | g_loss: 4.7681
2023-06-03 21:52:39 | Epoch [6/50] | Batch 180/509 | d_loss: 0.7083 | g_loss: 3.9585
2023-06-03 21:52:40 | Epoch [6/50] | Batch 185/509 | d_loss: 0.5353 | g_loss: 2.2206
2023-06-03 21:52:42 | Epoch [6/50] | Batch 190/509 | d_loss: 0.7058 | g_loss: 2.3455
2023-06-03 21:52:43 | Epoch [6/50] | Batch 195/509 | d_loss: 0.6024 | g_loss: 2.4945
2023-06-03 21:52:45 | Epoch [6/50] | Batch 200/509 | d_loss: 0.4390 | g_loss: 3.4687
2023-06-03 21:52:47 | Epoch [6/50] | Batch 205/509 | d_loss: 0.4259 | g_loss: 3.8689
2023-06-03 21:52:48 | Epoch [6/50] | Batch 210/509 | d_loss: 0.9117 | g_loss: 3.1211
2023-06-03 21:52:50 | Epoch [6/50] | Batch 215/509 | d_loss: 0.8087 | g_loss: 4.2396
2023-06-03 21:52:52 | Epoch [6/50] | Batch 220/509 | d_loss: 0.4308 | g_loss: 4.3115
2023-06-03 21:52:53 | Epoch [6/50] | Batch 225/509 | d_loss: 1.0876 | g_loss: 5.0203
2023-06-03 21:52:55 | Epoch [6/50] | Batch 230/509 | d_loss: 0.4468 | g_loss: 3.4743
2023-06-03 21:52:57 | Epoch [6/50] | Batch 235/509 | d_loss: 1.5208 | g_loss: 3.7210
2023-06-03 21:52:58 | Epoch [6/50] | Batch 240/509 | d_loss: 0.5213 | g_loss: 2.9499
2023-06-03 21:53:00 | Epoch [6/50] | Batch 245/509 | d_loss: 0.4595 | g_loss: 4.1695
2023-06-03 21:53:02 | Epoch [6/50] | Batch 250/509 | d_loss: 0.6955 | g_loss: 3.3760
2023-06-03 21:53:03 | Epoch [6/50] | Batch 255/509 | d_loss: 1.8855 | g_loss: 3.0069
2023-06-03 21:53:05 | Epoch [6/50] | Batch 260/509 | d_loss: 0.5847 | g_loss: 4.3063
2023-06-03 21:53:06 | Epoch [6/50] | Batch 265/509 | d_loss: 0.5018 | g_loss: 2.9767
2023-06-03 21:53:08 | Epoch [6/50] | Batch 270/509 | d_loss: 0.5542 | g_loss: 4.2010
2023-06-03 21:53:10 | Epoch [6/50] | Batch 275/509 | d_loss: 0.5080 | g_loss: 3.5684
2023-06-03 21:53:11 | Epoch [6/50] | Batch 280/509 | d_loss: 0.4488 | g_loss: 3.0633
2023-06-03 21:53:13 | Epoch [6/50] | Batch 285/509 | d_loss: 0.6168 | g_loss: 3.4879
2023-06-03 21:53:15 | Epoch [6/50] | Batch 290/509 | d_loss: 0.4779 | g_loss: 2.5430
2023-06-03 21:53:16 | Epoch [6/50] | Batch 295/509 | d_loss: 1.0072 | g_loss: 3.7013
2023-06-03 21:53:18 | Epoch [6/50] | Batch 300/509 | d_loss: 0.4072 | g_loss: 3.2411
2023-06-03 21:53:20 | Epoch [6/50] | Batch 305/509 | d_loss: 0.5524 | g_loss: 4.2415
2023-06-03 21:53:21 | Epoch [6/50] | Batch 310/509 | d_loss: 0.4791 | g_loss: 3.6665
2023-06-03 21:53:23 | Epoch [6/50] | Batch 315/509 | d_loss: 0.8400 | g_loss: 6.8306
2023-06-03 21:53:25 | Epoch [6/50] | Batch 320/509 | d_loss: 0.7591 | g_loss: 5.0339
2023-06-03 21:53:26 | Epoch [6/50] | Batch 325/509 | d_loss: 0.4846 | g_loss: 3.4033
2023-06-03 21:53:28 | Epoch [6/50] | Batch 330/509 | d_loss: 0.4980 | g_loss: 2.3501
2023-06-03 21:53:30 | Epoch [6/50] | Batch 335/509 | d_loss: 1.5464 | g_loss: 3.5266
2023-06-03 21:53:31 | Epoch [6/50] | Batch 340/509 | d_loss: 0.6374 | g_loss: 4.1056
2023-06-03 21:53:33 | Epoch [6/50] | Batch 345/509 | d_loss: 0.5794 | g_loss: 2.8387
2023-06-03 21:53:34 | Epoch [6/50] | Batch 350/509 | d_loss: 0.5736 | g_loss: 3.2490
2023-06-03 21:53:36 | Epoch [6/50] | Batch 355/509 | d_loss: 0.7297 | g_loss: 4.5205
2023-06-03 21:53:38 | Epoch [6/50] | Batch 360/509 | d_loss: 1.9963 | g_loss: 3.9386
2023-06-03 21:53:39 | Epoch [6/50] | Batch 365/509 | d_loss: 0.5569 | g_loss: 2.5268
2023-06-03 21:53:41 | Epoch [6/50] | Batch 370/509 | d_loss: 0.9211 | g_loss: 3.4941
2023-06-03 21:53:43 | Epoch [6/50] | Batch 375/509 | d_loss: 0.4796 | g_loss: 2.6779
2023-06-03 21:53:44 | Epoch [6/50] | Batch 380/509 | d_loss: 0.5421 | g_loss: 2.5545
2023-06-03 21:53:46 | Epoch [6/50] | Batch 385/509 | d_loss: 0.5236 | g_loss: 3.7957
2023-06-03 21:53:48 | Epoch [6/50] | Batch 390/509 | d_loss: 0.4147 | g_loss: 5.3443
2023-06-03 21:53:49 | Epoch [6/50] | Batch 395/509 | d_loss: 0.6595 | g_loss: 6.3004
2023-06-03 21:53:51 | Epoch [6/50] | Batch 400/509 | d_loss: 0.4022 | g_loss: 3.1899
2023-06-03 21:53:53 | Epoch [6/50] | Batch 405/509 | d_loss: 0.3992 | g_loss: 4.6125
2023-06-03 21:53:54 | Epoch [6/50] | Batch 410/509 | d_loss: 0.5357 | g_loss: 3.3832
2023-06-03 21:53:56 | Epoch [6/50] | Batch 415/509 | d_loss: 1.7374 | g_loss: 2.7759
2023-06-03 21:53:57 | Epoch [6/50] | Batch 420/509 | d_loss: 0.5332 | g_loss: 4.3100
2023-06-03 21:53:59 | Epoch [6/50] | Batch 425/509 | d_loss: 0.3896 | g_loss: 3.2792
2023-06-03 21:54:01 | Epoch [6/50] | Batch 430/509 | d_loss: 0.4315 | g_loss: 3.4043
2023-06-03 21:54:02 | Epoch [6/50] | Batch 435/509 | d_loss: 0.4018 | g_loss: 2.9664
2023-06-03 21:54:04 | Epoch [6/50] | Batch 440/509 | d_loss: 0.6022 | g_loss: 2.7627
2023-06-03 21:54:06 | Epoch [6/50] | Batch 445/509 | d_loss: 0.5758 | g_loss: 3.5199
2023-06-03 21:54:07 | Epoch [6/50] | Batch 450/509 | d_loss: 0.6111 | g_loss: 3.4534
2023-06-03 21:54:09 | Epoch [6/50] | Batch 455/509 | d_loss: 0.4324 | g_loss: 2.6836
2023-06-03 21:54:11 | Epoch [6/50] | Batch 460/509 | d_loss: 0.7257 | g_loss: 4.8085
2023-06-03 21:54:12 | Epoch [6/50] | Batch 465/509 | d_loss: 0.5250 | g_loss: 3.9642
2023-06-03 21:54:14 | Epoch [6/50] | Batch 470/509 | d_loss: 1.1025 | g_loss: 4.2470
2023-06-03 21:54:16 | Epoch [6/50] | Batch 475/509 | d_loss: 0.6467 | g_loss: 4.0878
2023-06-03 21:54:17 | Epoch [6/50] | Batch 480/509 | d_loss: 0.4792 | g_loss: 4.0375
2023-06-03 21:54:19 | Epoch [6/50] | Batch 485/509 | d_loss: 0.8871 | g_loss: 4.0539
2023-06-03 21:54:21 | Epoch [6/50] | Batch 490/509 | d_loss: 0.6180 | g_loss: 2.8532
2023-06-03 21:54:22 | Epoch [6/50] | Batch 495/509 | d_loss: 0.4167 | g_loss: 3.5504
2023-06-03 21:54:24 | Epoch [6/50] | Batch 500/509 | d_loss: 0.4374 | g_loss: 3.7760
2023-06-03 21:54:25 | Epoch [6/50] | Batch 505/509 | d_loss: 0.7575 | g_loss: 5.5485

2023-06-03 21:54:28 | Epoch [7/50] | Batch 0/509 | d_loss: 0.5254 | g_loss: 2.7907
2023-06-03 21:54:30 | Epoch [7/50] | Batch 5/509 | d_loss: 0.3810 | g_loss: 4.0368
2023-06-03 21:54:31 | Epoch [7/50] | Batch 10/509 | d_loss: 0.4820 | g_loss: 2.4240
2023-06-03 21:54:33 | Epoch [7/50] | Batch 15/509 | d_loss: 0.6046 | g_loss: 2.8296
2023-06-03 21:54:35 | Epoch [7/50] | Batch 20/509 | d_loss: 0.5146 | g_loss: 3.6917
2023-06-03 21:54:36 | Epoch [7/50] | Batch 25/509 | d_loss: 1.8236 | g_loss: 3.9636
2023-06-03 21:54:38 | Epoch [7/50] | Batch 30/509 | d_loss: 0.5542 | g_loss: 3.5951
2023-06-03 21:54:40 | Epoch [7/50] | Batch 35/509 | d_loss: 0.4429 | g_loss: 2.5371
2023-06-03 21:54:41 | Epoch [7/50] | Batch 40/509 | d_loss: 0.4848 | g_loss: 3.4281
2023-06-03 21:54:43 | Epoch [7/50] | Batch 45/509 | d_loss: 0.5144 | g_loss: 2.8046
2023-06-03 21:54:44 | Epoch [7/50] | Batch 50/509 | d_loss: 0.5537 | g_loss: 5.0571
2023-06-03 21:54:46 | Epoch [7/50] | Batch 55/509 | d_loss: 0.4148 | g_loss: 3.0499
2023-06-03 21:54:48 | Epoch [7/50] | Batch 60/509 | d_loss: 0.5875 | g_loss: 3.9955
2023-06-03 21:54:49 | Epoch [7/50] | Batch 65/509 | d_loss: 0.8449 | g_loss: 4.2300
2023-06-03 21:54:51 | Epoch [7/50] | Batch 70/509 | d_loss: 0.5026 | g_loss: 2.8048
2023-06-03 21:54:53 | Epoch [7/50] | Batch 75/509 | d_loss: 0.4095 | g_loss: 5.6609
2023-06-03 21:54:54 | Epoch [7/50] | Batch 80/509 | d_loss: 0.3666 | g_loss: 2.8911
2023-06-03 21:54:56 | Epoch [7/50] | Batch 85/509 | d_loss: 1.1828 | g_loss: 2.8758
2023-06-03 21:54:58 | Epoch [7/50] | Batch 90/509 | d_loss: 0.4560 | g_loss: 3.4949
2023-06-03 21:54:59 | Epoch [7/50] | Batch 95/509 | d_loss: 0.3985 | g_loss: 3.7763
2023-06-03 21:55:01 | Epoch [7/50] | Batch 100/509 | d_loss: 0.4154 | g_loss: 2.0640
2023-06-03 21:55:03 | Epoch [7/50] | Batch 105/509 | d_loss: 0.7120 | g_loss: 1.9867
2023-06-03 21:55:04 | Epoch [7/50] | Batch 110/509 | d_loss: 0.5038 | g_loss: 4.2217
2023-06-03 21:55:06 | Epoch [7/50] | Batch 115/509 | d_loss: 0.5375 | g_loss: 3.0906
2023-06-03 21:55:08 | Epoch [7/50] | Batch 120/509 | d_loss: 1.1448 | g_loss: 4.6575
2023-06-03 21:55:09 | Epoch [7/50] | Batch 125/509 | d_loss: 0.4826 | g_loss: 3.2779
2023-06-03 21:55:11 | Epoch [7/50] | Batch 130/509 | d_loss: 0.4584 | g_loss: 2.8299
2023-06-03 21:55:12 | Epoch [7/50] | Batch 135/509 | d_loss: 0.6507 | g_loss: 3.7834
2023-06-03 21:55:14 | Epoch [7/50] | Batch 140/509 | d_loss: 0.4073 | g_loss: 2.9838
2023-06-03 21:55:16 | Epoch [7/50] | Batch 145/509 | d_loss: 0.4395 | g_loss: 3.6499
2023-06-03 21:55:17 | Epoch [7/50] | Batch 150/509 | d_loss: 0.6765 | g_loss: 3.7200
2023-06-03 21:55:19 | Epoch [7/50] | Batch 155/509 | d_loss: 0.3801 | g_loss: 3.7768
2023-06-03 21:55:21 | Epoch [7/50] | Batch 160/509 | d_loss: 0.4070 | g_loss: 3.4244
2023-06-03 21:55:22 | Epoch [7/50] | Batch 165/509 | d_loss: 0.4906 | g_loss: 4.4223
2023-06-03 21:55:24 | Epoch [7/50] | Batch 170/509 | d_loss: 0.3556 | g_loss: 5.5104
2023-06-03 21:55:26 | Epoch [7/50] | Batch 175/509 | d_loss: 0.4268 | g_loss: 4.8091
2023-06-03 21:55:27 | Epoch [7/50] | Batch 180/509 | d_loss: 1.0312 | g_loss: 5.9233
2023-06-03 21:55:29 | Epoch [7/50] | Batch 185/509 | d_loss: 2.0657 | g_loss: 5.4608
2023-06-03 21:55:30 | Epoch [7/50] | Batch 190/509 | d_loss: 0.4634 | g_loss: 3.3207
2023-06-03 21:55:32 | Epoch [7/50] | Batch 195/509 | d_loss: 0.4763 | g_loss: 2.3331
2023-06-03 21:55:34 | Epoch [7/50] | Batch 200/509 | d_loss: 0.3716 | g_loss: 5.3622
2023-06-03 21:55:35 | Epoch [7/50] | Batch 205/509 | d_loss: 0.9971 | g_loss: 5.8457
2023-06-03 21:55:37 | Epoch [7/50] | Batch 210/509 | d_loss: 0.5553 | g_loss: 6.1261
2023-06-03 21:55:39 | Epoch [7/50] | Batch 215/509 | d_loss: 0.5050 | g_loss: 2.7058
2023-06-03 21:55:40 | Epoch [7/50] | Batch 220/509 | d_loss: 0.4483 | g_loss: 3.9398
2023-06-03 21:55:42 | Epoch [7/50] | Batch 225/509 | d_loss: 0.3865 | g_loss: 3.9173
2023-06-03 21:55:44 | Epoch [7/50] | Batch 230/509 | d_loss: 0.4090 | g_loss: 3.5756
2023-06-03 21:55:45 | Epoch [7/50] | Batch 235/509 | d_loss: 0.4073 | g_loss: 3.5662
2023-06-03 21:55:47 | Epoch [7/50] | Batch 240/509 | d_loss: 0.5834 | g_loss: 4.0748
2023-06-03 21:55:48 | Epoch [7/50] | Batch 245/509 | d_loss: 0.3686 | g_loss: 4.1035
2023-06-03 21:55:50 | Epoch [7/50] | Batch 250/509 | d_loss: 0.6293 | g_loss: 3.8872
2023-06-03 21:55:52 | Epoch [7/50] | Batch 255/509 | d_loss: 0.6480 | g_loss: 2.8101
2023-06-03 21:55:53 | Epoch [7/50] | Batch 260/509 | d_loss: 0.4333 | g_loss: 2.9118
2023-06-03 21:55:55 | Epoch [7/50] | Batch 265/509 | d_loss: 0.5173 | g_loss: 3.6526
2023-06-03 21:55:57 | Epoch [7/50] | Batch 270/509 | d_loss: 0.5314 | g_loss: 3.7624
2023-06-03 21:55:58 | Epoch [7/50] | Batch 275/509 | d_loss: 0.6176 | g_loss: 4.1377
2023-06-03 21:56:00 | Epoch [7/50] | Batch 280/509 | d_loss: 0.8425 | g_loss: 5.4208
2023-06-03 21:56:02 | Epoch [7/50] | Batch 285/509 | d_loss: 0.3829 | g_loss: 4.5341
2023-06-03 21:56:03 | Epoch [7/50] | Batch 290/509 | d_loss: 0.4898 | g_loss: 3.4251
2023-06-03 21:56:05 | Epoch [7/50] | Batch 295/509 | d_loss: 0.3579 | g_loss: 6.4867
2023-06-03 21:56:07 | Epoch [7/50] | Batch 300/509 | d_loss: 0.3929 | g_loss: 4.1713
2023-06-03 21:56:08 | Epoch [7/50] | Batch 305/509 | d_loss: 0.4906 | g_loss: 3.6475
2023-06-03 21:56:10 | Epoch [7/50] | Batch 310/509 | d_loss: 0.9016 | g_loss: 6.5743
2023-06-03 21:56:11 | Epoch [7/50] | Batch 315/509 | d_loss: 0.4258 | g_loss: 2.2007
2023-06-03 21:56:13 | Epoch [7/50] | Batch 320/509 | d_loss: 0.4648 | g_loss: 2.9133
2023-06-03 21:56:15 | Epoch [7/50] | Batch 325/509 | d_loss: 0.5595 | g_loss: 4.0067
2023-06-03 21:56:16 | Epoch [7/50] | Batch 330/509 | d_loss: 0.5228 | g_loss: 2.8704
2023-06-03 21:56:18 | Epoch [7/50] | Batch 335/509 | d_loss: 0.3950 | g_loss: 3.7448
2023-06-03 21:56:20 | Epoch [7/50] | Batch 340/509 | d_loss: 1.3366 | g_loss: 2.4936
2023-06-03 21:56:21 | Epoch [7/50] | Batch 345/509 | d_loss: 0.9138 | g_loss: 4.1513
2023-06-03 21:56:23 | Epoch [7/50] | Batch 350/509 | d_loss: 0.5112 | g_loss: 2.7386
2023-06-03 21:56:25 | Epoch [7/50] | Batch 355/509 | d_loss: 0.3871 | g_loss: 3.8441
2023-06-03 21:56:26 | Epoch [7/50] | Batch 360/509 | d_loss: 0.7988 | g_loss: 3.5813
2023-06-03 21:56:28 | Epoch [7/50] | Batch 365/509 | d_loss: 0.4491 | g_loss: 2.4386
2023-06-03 21:56:30 | Epoch [7/50] | Batch 370/509 | d_loss: 0.4053 | g_loss: 3.7961
2023-06-03 21:56:31 | Epoch [7/50] | Batch 375/509 | d_loss: 0.4567 | g_loss: 2.9203
2023-06-03 21:56:33 | Epoch [7/50] | Batch 380/509 | d_loss: 0.3927 | g_loss: 3.9417
2023-06-03 21:56:34 | Epoch [7/50] | Batch 385/509 | d_loss: 0.5250 | g_loss: 2.7109
2023-06-03 21:56:36 | Epoch [7/50] | Batch 390/509 | d_loss: 0.4210 | g_loss: 2.4451
2023-06-03 21:56:38 | Epoch [7/50] | Batch 395/509 | d_loss: 0.4150 | g_loss: 3.3280
2023-06-03 21:56:39 | Epoch [7/50] | Batch 400/509 | d_loss: 0.4789 | g_loss: 3.6860
2023-06-03 21:56:41 | Epoch [7/50] | Batch 405/509 | d_loss: 0.3550 | g_loss: 4.8832
2023-06-03 21:56:43 | Epoch [7/50] | Batch 410/509 | d_loss: 0.4075 | g_loss: 3.8822
2023-06-03 21:56:44 | Epoch [7/50] | Batch 415/509 | d_loss: 0.3995 | g_loss: 3.9584
2023-06-03 21:56:46 | Epoch [7/50] | Batch 420/509 | d_loss: 3.7481 | g_loss: 4.0394
2023-06-03 21:56:48 | Epoch [7/50] | Batch 425/509 | d_loss: 0.6661 | g_loss: 3.1208
2023-06-03 21:56:49 | Epoch [7/50] | Batch 430/509 | d_loss: 0.4768 | g_loss: 3.1738
2023-06-03 21:56:51 | Epoch [7/50] | Batch 435/509 | d_loss: 0.5397 | g_loss: 3.2662
2023-06-03 21:56:53 | Epoch [7/50] | Batch 440/509 | d_loss: 0.6587 | g_loss: 4.9820
2023-06-03 21:56:54 | Epoch [7/50] | Batch 445/509 | d_loss: 0.4355 | g_loss: 3.2343
2023-06-03 21:56:56 | Epoch [7/50] | Batch 450/509 | d_loss: 1.0947 | g_loss: 4.2678
2023-06-03 21:56:57 | Epoch [7/50] | Batch 455/509 | d_loss: 0.5102 | g_loss: 5.6190
2023-06-03 21:56:59 | Epoch [7/50] | Batch 460/509 | d_loss: 0.4530 | g_loss: 3.4552
2023-06-03 21:57:01 | Epoch [7/50] | Batch 465/509 | d_loss: 0.4021 | g_loss: 3.7935
2023-06-03 21:57:02 | Epoch [7/50] | Batch 470/509 | d_loss: 0.4358 | g_loss: 3.5389
2023-06-03 21:57:04 | Epoch [7/50] | Batch 475/509 | d_loss: 0.4852 | g_loss: 3.3828
2023-06-03 21:57:06 | Epoch [7/50] | Batch 480/509 | d_loss: 0.5079 | g_loss: 3.6396
2023-06-03 21:57:07 | Epoch [7/50] | Batch 485/509 | d_loss: 0.6878 | g_loss: 3.7931
2023-06-03 21:57:09 | Epoch [7/50] | Batch 490/509 | d_loss: 0.6007 | g_loss: 4.2600
2023-06-03 21:57:11 | Epoch [7/50] | Batch 495/509 | d_loss: 0.3792 | g_loss: 4.6010
2023-06-03 21:57:12 | Epoch [7/50] | Batch 500/509 | d_loss: 0.4225 | g_loss: 3.6140
2023-06-03 21:57:14 | Epoch [7/50] | Batch 505/509 | d_loss: 1.0665 | g_loss: 3.2162

2023-06-03 21:57:16 | Epoch [8/50] | Batch 0/509 | d_loss: 0.4703 | g_loss: 3.0397
2023-06-03 21:57:18 | Epoch [8/50] | Batch 5/509 | d_loss: 0.4768 | g_loss: 2.9763
2023-06-03 21:57:20 | Epoch [8/50] | Batch 10/509 | d_loss: 0.3777 | g_loss: 4.3025
2023-06-03 21:57:21 | Epoch [8/50] | Batch 15/509 | d_loss: 0.3805 | g_loss: 4.0536
2023-06-03 21:57:23 | Epoch [8/50] | Batch 20/509 | d_loss: 0.7545 | g_loss: 5.3311
2023-06-03 21:57:25 | Epoch [8/50] | Batch 25/509 | d_loss: 1.1222 | g_loss: 6.2289
2023-06-03 21:57:26 | Epoch [8/50] | Batch 30/509 | d_loss: 0.4284 | g_loss: 4.7271
2023-06-03 21:57:28 | Epoch [8/50] | Batch 35/509 | d_loss: 0.4551 | g_loss: 3.3057
2023-06-03 21:57:30 | Epoch [8/50] | Batch 40/509 | d_loss: 0.5544 | g_loss: 3.7106
2023-06-03 21:57:31 | Epoch [8/50] | Batch 45/509 | d_loss: 0.6301 | g_loss: 3.5298
2023-06-03 21:57:33 | Epoch [8/50] | Batch 50/509 | d_loss: 0.8727 | g_loss: 7.5735
2023-06-03 21:57:35 | Epoch [8/50] | Batch 55/509 | d_loss: 0.9920 | g_loss: 4.9658
2023-06-03 21:57:36 | Epoch [8/50] | Batch 60/509 | d_loss: 0.3619 | g_loss: 5.1404
2023-06-03 21:57:38 | Epoch [8/50] | Batch 65/509 | d_loss: 0.3887 | g_loss: 4.6561
2023-06-03 21:57:39 | Epoch [8/50] | Batch 70/509 | d_loss: 0.3601 | g_loss: 4.2795
2023-06-03 21:57:41 | Epoch [8/50] | Batch 75/509 | d_loss: 0.3463 | g_loss: 5.5047
2023-06-03 21:57:43 | Epoch [8/50] | Batch 80/509 | d_loss: 0.3810 | g_loss: 3.8093
2023-06-03 21:57:44 | Epoch [8/50] | Batch 85/509 | d_loss: 0.4518 | g_loss: 3.4443
2023-06-03 21:57:46 | Epoch [8/50] | Batch 90/509 | d_loss: 0.5045 | g_loss: 3.4959
2023-06-03 21:57:48 | Epoch [8/50] | Batch 95/509 | d_loss: 0.3524 | g_loss: 6.1754
2023-06-03 21:57:49 | Epoch [8/50] | Batch 100/509 | d_loss: 0.5679 | g_loss: 2.5658
2023-06-03 21:57:51 | Epoch [8/50] | Batch 105/509 | d_loss: 0.4919 | g_loss: 2.4881
2023-06-03 21:57:53 | Epoch [8/50] | Batch 110/509 | d_loss: 0.3835 | g_loss: 3.6213
2023-06-03 21:57:54 | Epoch [8/50] | Batch 115/509 | d_loss: 0.5822 | g_loss: 3.5647
2023-06-03 21:57:56 | Epoch [8/50] | Batch 120/509 | d_loss: 2.4950 | g_loss: 4.5300
2023-06-03 21:57:58 | Epoch [8/50] | Batch 125/509 | d_loss: 1.3296 | g_loss: 6.6398
2023-06-03 21:57:59 | Epoch [8/50] | Batch 130/509 | d_loss: 0.6566 | g_loss: 3.7140
2023-06-03 21:58:01 | Epoch [8/50] | Batch 135/509 | d_loss: 0.4918 | g_loss: 3.4616
2023-06-03 21:58:02 | Epoch [8/50] | Batch 140/509 | d_loss: 0.4773 | g_loss: 3.2529
2023-06-03 21:58:04 | Epoch [8/50] | Batch 145/509 | d_loss: 0.3874 | g_loss: 4.0244
2023-06-03 21:58:06 | Epoch [8/50] | Batch 150/509 | d_loss: 0.5076 | g_loss: 3.9024
2023-06-03 21:58:07 | Epoch [8/50] | Batch 155/509 | d_loss: 0.4725 | g_loss: 2.8435
2023-06-03 21:58:09 | Epoch [8/50] | Batch 160/509 | d_loss: 0.4492 | g_loss: 3.1649
2023-06-03 21:58:11 | Epoch [8/50] | Batch 165/509 | d_loss: 0.5469 | g_loss: 4.0473
2023-06-03 21:58:12 | Epoch [8/50] | Batch 170/509 | d_loss: 0.3680 | g_loss: 5.6105
2023-06-03 21:58:14 | Epoch [8/50] | Batch 175/509 | d_loss: 0.8235 | g_loss: 5.1770
2023-06-03 21:58:16 | Epoch [8/50] | Batch 180/509 | d_loss: 0.4885 | g_loss: 3.2985
2023-06-03 21:58:17 | Epoch [8/50] | Batch 185/509 | d_loss: 0.4205 | g_loss: 3.4067
2023-06-03 21:58:19 | Epoch [8/50] | Batch 190/509 | d_loss: 1.8366 | g_loss: 4.6906
2023-06-03 21:58:21 | Epoch [8/50] | Batch 195/509 | d_loss: 0.7476 | g_loss: 3.7984
2023-06-03 21:58:22 | Epoch [8/50] | Batch 200/509 | d_loss: 0.6066 | g_loss: 1.7819
2023-06-03 21:58:24 | Epoch [8/50] | Batch 205/509 | d_loss: 0.5594 | g_loss: 3.3763
2023-06-03 21:58:26 | Epoch [8/50] | Batch 210/509 | d_loss: 0.5057 | g_loss: 2.6660
2023-06-03 21:58:27 | Epoch [8/50] | Batch 215/509 | d_loss: 0.5656 | g_loss: 4.6387
2023-06-03 21:58:29 | Epoch [8/50] | Batch 220/509 | d_loss: 0.3640 | g_loss: 4.8094
2023-06-03 21:58:31 | Epoch [8/50] | Batch 225/509 | d_loss: 0.6569 | g_loss: 3.8143
2023-06-03 21:58:32 | Epoch [8/50] | Batch 230/509 | d_loss: 0.3580 | g_loss: 5.8075
2023-06-03 21:58:34 | Epoch [8/50] | Batch 235/509 | d_loss: 0.9317 | g_loss: 5.0857
2023-06-03 21:58:35 | Epoch [8/50] | Batch 240/509 | d_loss: 0.4626 | g_loss: 3.7547
2023-06-03 21:58:37 | Epoch [8/50] | Batch 245/509 | d_loss: 0.4590 | g_loss: 4.3446
2023-06-03 21:58:39 | Epoch [8/50] | Batch 250/509 | d_loss: 0.5704 | g_loss: 3.4042
2023-06-03 21:58:40 | Epoch [8/50] | Batch 255/509 | d_loss: 0.4283 | g_loss: 3.5610
2023-06-03 21:58:42 | Epoch [8/50] | Batch 260/509 | d_loss: 0.4109 | g_loss: 3.4568
2023-06-03 21:58:44 | Epoch [8/50] | Batch 265/509 | d_loss: 2.0417 | g_loss: 2.9901
2023-06-03 21:58:45 | Epoch [8/50] | Batch 270/509 | d_loss: 0.4847 | g_loss: 2.8145
2023-06-03 21:58:47 | Epoch [8/50] | Batch 275/509 | d_loss: 0.4499 | g_loss: 4.1291
2023-06-03 21:58:49 | Epoch [8/50] | Batch 280/509 | d_loss: 0.7897 | g_loss: 5.5143
2023-06-03 21:58:50 | Epoch [8/50] | Batch 285/509 | d_loss: 0.4312 | g_loss: 3.7553
2023-06-03 21:58:52 | Epoch [8/50] | Batch 290/509 | d_loss: 0.4088 | g_loss: 4.2917
2023-06-03 21:58:54 | Epoch [8/50] | Batch 295/509 | d_loss: 0.3832 | g_loss: 3.8753
2023-06-03 21:58:55 | Epoch [8/50] | Batch 300/509 | d_loss: 0.6897 | g_loss: 5.5492
2023-06-03 21:58:57 | Epoch [8/50] | Batch 305/509 | d_loss: 2.2452 | g_loss: 2.8382
2023-06-03 21:58:59 | Epoch [8/50] | Batch 310/509 | d_loss: 0.5192 | g_loss: 4.3103
2023-06-03 21:59:00 | Epoch [8/50] | Batch 315/509 | d_loss: 0.8915 | g_loss: 2.3721
2023-06-03 21:59:02 | Epoch [8/50] | Batch 320/509 | d_loss: 0.6160 | g_loss: 2.6428
2023-06-03 21:59:04 | Epoch [8/50] | Batch 325/509 | d_loss: 0.6446 | g_loss: 2.5457
2023-06-03 21:59:05 | Epoch [8/50] | Batch 330/509 | d_loss: 0.4705 | g_loss: 2.5270
2023-06-03 21:59:07 | Epoch [8/50] | Batch 335/509 | d_loss: 0.4377 | g_loss: 3.4335
2023-06-03 21:59:08 | Epoch [8/50] | Batch 340/509 | d_loss: 0.4681 | g_loss: 2.9124
2023-06-03 21:59:10 | Epoch [8/50] | Batch 345/509 | d_loss: 0.4796 | g_loss: 2.3120
2023-06-03 21:59:12 | Epoch [8/50] | Batch 350/509 | d_loss: 0.3677 | g_loss: 4.0343
2023-06-03 21:59:13 | Epoch [8/50] | Batch 355/509 | d_loss: 0.3970 | g_loss: 3.6960
2023-06-03 21:59:15 | Epoch [8/50] | Batch 360/509 | d_loss: 0.4195 | g_loss: 2.9168
2023-06-03 21:59:17 | Epoch [8/50] | Batch 365/509 | d_loss: 0.6423 | g_loss: 4.9877
2023-06-03 21:59:18 | Epoch [8/50] | Batch 370/509 | d_loss: 0.4680 | g_loss: 3.2517
2023-06-03 21:59:20 | Epoch [8/50] | Batch 375/509 | d_loss: 0.4198 | g_loss: 3.1866
2023-06-03 21:59:22 | Epoch [8/50] | Batch 380/509 | d_loss: 0.3657 | g_loss: 5.1204
2023-06-03 21:59:23 | Epoch [8/50] | Batch 385/509 | d_loss: 0.5586 | g_loss: 3.8891
2023-06-03 21:59:25 | Epoch [8/50] | Batch 390/509 | d_loss: 1.2022 | g_loss: 3.6356
2023-06-03 21:59:27 | Epoch [8/50] | Batch 395/509 | d_loss: 0.7293 | g_loss: 6.4138
2023-06-03 21:59:28 | Epoch [8/50] | Batch 400/509 | d_loss: 0.9870 | g_loss: 4.0686
2023-06-03 21:59:30 | Epoch [8/50] | Batch 405/509 | d_loss: 0.5137 | g_loss: 3.6105
2023-06-03 21:59:32 | Epoch [8/50] | Batch 410/509 | d_loss: 0.4192 | g_loss: 3.8186
2023-06-03 21:59:33 | Epoch [8/50] | Batch 415/509 | d_loss: 0.4271 | g_loss: 3.3686
2023-06-03 21:59:35 | Epoch [8/50] | Batch 420/509 | d_loss: 0.3724 | g_loss: 4.3954
2023-06-03 21:59:37 | Epoch [8/50] | Batch 425/509 | d_loss: 0.4333 | g_loss: 3.6826
2023-06-03 21:59:38 | Epoch [8/50] | Batch 430/509 | d_loss: 0.6032 | g_loss: 3.7826
2023-06-03 21:59:40 | Epoch [8/50] | Batch 435/509 | d_loss: 0.4627 | g_loss: 3.6048
2023-06-03 21:59:41 | Epoch [8/50] | Batch 440/509 | d_loss: 0.6094 | g_loss: 2.7753
2023-06-03 21:59:43 | Epoch [8/50] | Batch 445/509 | d_loss: 0.5375 | g_loss: 4.3804
2023-06-03 21:59:45 | Epoch [8/50] | Batch 450/509 | d_loss: 0.5256 | g_loss: 3.6690
2023-06-03 21:59:46 | Epoch [8/50] | Batch 455/509 | d_loss: 0.4359 | g_loss: 3.6509
2023-06-03 21:59:48 | Epoch [8/50] | Batch 460/509 | d_loss: 0.3855 | g_loss: 4.4030
2023-06-03 21:59:50 | Epoch [8/50] | Batch 465/509 | d_loss: 0.4181 | g_loss: 3.0462
2023-06-03 21:59:51 | Epoch [8/50] | Batch 470/509 | d_loss: 0.3740 | g_loss: 4.2381
2023-06-03 21:59:53 | Epoch [8/50] | Batch 475/509 | d_loss: 0.3635 | g_loss: 4.4997
2023-06-03 21:59:55 | Epoch [8/50] | Batch 480/509 | d_loss: 0.4126 | g_loss: 3.7208
2023-06-03 21:59:56 | Epoch [8/50] | Batch 485/509 | d_loss: 0.4451 | g_loss: 4.3100
2023-06-03 21:59:58 | Epoch [8/50] | Batch 490/509 | d_loss: 0.3514 | g_loss: 6.1404
2023-06-03 22:00:00 | Epoch [8/50] | Batch 495/509 | d_loss: 0.4092 | g_loss: 3.7974
2023-06-03 22:00:01 | Epoch [8/50] | Batch 500/509 | d_loss: 0.6256 | g_loss: 2.0362
2023-06-03 22:00:03 | Epoch [8/50] | Batch 505/509 | d_loss: 0.4442 | g_loss: 4.0137

2023-06-03 22:00:05 | Epoch [9/50] | Batch 0/509 | d_loss: 0.3582 | g_loss: 5.5656
2023-06-03 22:00:07 | Epoch [9/50] | Batch 5/509 | d_loss: 0.5465 | g_loss: 3.3306
2023-06-03 22:00:09 | Epoch [9/50] | Batch 10/509 | d_loss: 0.3818 | g_loss: 4.1798
2023-06-03 22:00:10 | Epoch [9/50] | Batch 15/509 | d_loss: 0.3466 | g_loss: 5.4500
2023-06-03 22:00:12 | Epoch [9/50] | Batch 20/509 | d_loss: 0.3700 | g_loss: 4.1656
2023-06-03 22:00:14 | Epoch [9/50] | Batch 25/509 | d_loss: 0.3523 | g_loss: 6.4795
2023-06-03 22:00:15 | Epoch [9/50] | Batch 30/509 | d_loss: 0.6344 | g_loss: 4.7009
2023-06-03 22:00:17 | Epoch [9/50] | Batch 35/509 | d_loss: 0.5782 | g_loss: 4.3967
2023-06-03 22:00:19 | Epoch [9/50] | Batch 40/509 | d_loss: 0.4748 | g_loss: 3.9299
2023-06-03 22:00:20 | Epoch [9/50] | Batch 45/509 | d_loss: 0.3470 | g_loss: 4.4937
2023-06-03 22:00:22 | Epoch [9/50] | Batch 50/509 | d_loss: 1.0643 | g_loss: 5.1998
2023-06-03 22:00:24 | Epoch [9/50] | Batch 55/509 | d_loss: 0.4420 | g_loss: 4.7066
2023-06-03 22:00:25 | Epoch [9/50] | Batch 60/509 | d_loss: 0.5077 | g_loss: 6.5419
2023-06-03 22:00:27 | Epoch [9/50] | Batch 65/509 | d_loss: 0.3603 | g_loss: 4.9577
2023-06-03 22:00:28 | Epoch [9/50] | Batch 70/509 | d_loss: 0.4413 | g_loss: 3.2124
2023-06-03 22:00:30 | Epoch [9/50] | Batch 75/509 | d_loss: 0.3789 | g_loss: 4.5610
2023-06-03 22:00:32 | Epoch [9/50] | Batch 80/509 | d_loss: 0.4851 | g_loss: 2.6857
2023-06-03 22:00:33 | Epoch [9/50] | Batch 85/509 | d_loss: 0.3624 | g_loss: 7.4833
2023-06-03 22:00:35 | Epoch [9/50] | Batch 90/509 | d_loss: 0.3680 | g_loss: 4.5301
2023-06-03 22:00:37 | Epoch [9/50] | Batch 95/509 | d_loss: 0.4435 | g_loss: 3.3947
2023-06-03 22:00:38 | Epoch [9/50] | Batch 100/509 | d_loss: 0.4897 | g_loss: 5.1314
2023-06-03 22:00:40 | Epoch [9/50] | Batch 105/509 | d_loss: 0.5679 | g_loss: 4.2491
2023-06-03 22:00:42 | Epoch [9/50] | Batch 110/509 | d_loss: 0.5098 | g_loss: 3.1851
2023-06-03 22:00:43 | Epoch [9/50] | Batch 115/509 | d_loss: 0.4561 | g_loss: 4.3402
2023-06-03 22:00:45 | Epoch [9/50] | Batch 120/509 | d_loss: 0.3947 | g_loss: 3.5873
2023-06-03 22:00:47 | Epoch [9/50] | Batch 125/509 | d_loss: 0.3943 | g_loss: 3.6828
2023-06-03 22:00:48 | Epoch [9/50] | Batch 130/509 | d_loss: 0.5344 | g_loss: 4.6506
2023-06-03 22:00:50 | Epoch [9/50] | Batch 135/509 | d_loss: 0.4242 | g_loss: 2.9400
2023-06-03 22:00:52 | Epoch [9/50] | Batch 140/509 | d_loss: 0.3986 | g_loss: 4.1207
2023-06-03 22:00:53 | Epoch [9/50] | Batch 145/509 | d_loss: 1.3047 | g_loss: 3.2388
2023-06-03 22:00:55 | Epoch [9/50] | Batch 150/509 | d_loss: 2.5145 | g_loss: 4.3429
2023-06-03 22:00:57 | Epoch [9/50] | Batch 155/509 | d_loss: 0.4544 | g_loss: 3.7858
2023-06-03 22:00:58 | Epoch [9/50] | Batch 160/509 | d_loss: 0.5420 | g_loss: 3.1921
2023-06-03 22:01:00 | Epoch [9/50] | Batch 165/509 | d_loss: 0.3831 | g_loss: 3.8035
2023-06-03 22:01:02 | Epoch [9/50] | Batch 170/509 | d_loss: 0.3581 | g_loss: 5.9025
2023-06-03 22:01:03 | Epoch [9/50] | Batch 175/509 | d_loss: 0.6376 | g_loss: 2.1853
2023-06-03 22:01:05 | Epoch [9/50] | Batch 180/509 | d_loss: 0.3970 | g_loss: 3.8702
2023-06-03 22:01:06 | Epoch [9/50] | Batch 185/509 | d_loss: 0.3727 | g_loss: 4.5831
2023-06-03 22:01:08 | Epoch [9/50] | Batch 190/509 | d_loss: 0.4342 | g_loss: 3.7306
2023-06-03 22:01:10 | Epoch [9/50] | Batch 195/509 | d_loss: 0.4406 | g_loss: 4.5708
2023-06-03 22:01:11 | Epoch [9/50] | Batch 200/509 | d_loss: 0.3618 | g_loss: 4.8885
2023-06-03 22:01:13 | Epoch [9/50] | Batch 205/509 | d_loss: 0.4018 | g_loss: 3.3570
2023-06-03 22:01:15 | Epoch [9/50] | Batch 210/509 | d_loss: 0.3539 | g_loss: 5.7529
2023-06-03 22:01:16 | Epoch [9/50] | Batch 215/509 | d_loss: 0.3977 | g_loss: 4.7194
2023-06-03 22:01:18 | Epoch [9/50] | Batch 220/509 | d_loss: 0.5225 | g_loss: 4.2897
2023-06-03 22:01:20 | Epoch [9/50] | Batch 225/509 | d_loss: 0.6254 | g_loss: 4.7690
2023-06-03 22:01:21 | Epoch [9/50] | Batch 230/509 | d_loss: 0.3562 | g_loss: 5.7727
2023-06-03 22:01:23 | Epoch [9/50] | Batch 235/509 | d_loss: 0.4560 | g_loss: 2.3420
2023-06-03 22:01:25 | Epoch [9/50] | Batch 240/509 | d_loss: 0.4186 | g_loss: 2.6174
2023-06-03 22:01:26 | Epoch [9/50] | Batch 245/509 | d_loss: 0.4344 | g_loss: 2.7556
2023-06-03 22:01:28 | Epoch [9/50] | Batch 250/509 | d_loss: 0.4716 | g_loss: 2.6610
2023-06-03 22:01:30 | Epoch [9/50] | Batch 255/509 | d_loss: 0.4014 | g_loss: 4.1769
2023-06-03 22:01:31 | Epoch [9/50] | Batch 260/509 | d_loss: 0.4022 | g_loss: 4.2629
2023-06-03 22:01:33 | Epoch [9/50] | Batch 265/509 | d_loss: 0.4115 | g_loss: 4.8882
2023-06-03 22:01:35 | Epoch [9/50] | Batch 270/509 | d_loss: 0.4038 | g_loss: 3.6068
2023-06-03 22:01:36 | Epoch [9/50] | Batch 275/509 | d_loss: 0.6851 | g_loss: 6.8514
2023-06-03 22:01:38 | Epoch [9/50] | Batch 280/509 | d_loss: 2.0863 | g_loss: 8.4106
2023-06-03 22:01:40 | Epoch [9/50] | Batch 285/509 | d_loss: 1.6751 | g_loss: 5.3815
2023-06-03 22:01:41 | Epoch [9/50] | Batch 290/509 | d_loss: 0.6375 | g_loss: 2.0416
2023-06-03 22:01:43 | Epoch [9/50] | Batch 295/509 | d_loss: 0.4424 | g_loss: 3.1615
2023-06-03 22:01:44 | Epoch [9/50] | Batch 300/509 | d_loss: 0.4882 | g_loss: 3.5893
2023-06-03 22:01:46 | Epoch [9/50] | Batch 305/509 | d_loss: 0.7080 | g_loss: 3.6139
2023-06-03 22:01:48 | Epoch [9/50] | Batch 310/509 | d_loss: 0.4031 | g_loss: 3.9081
2023-06-03 22:01:49 | Epoch [9/50] | Batch 315/509 | d_loss: 0.6841 | g_loss: 3.2438
2023-06-03 22:01:51 | Epoch [9/50] | Batch 320/509 | d_loss: 0.7094 | g_loss: 4.1504
2023-06-03 22:01:53 | Epoch [9/50] | Batch 325/509 | d_loss: 0.4902 | g_loss: 3.3189
2023-06-03 22:01:54 | Epoch [9/50] | Batch 330/509 | d_loss: 1.5940 | g_loss: 4.3365
2023-06-03 22:01:56 | Epoch [9/50] | Batch 335/509 | d_loss: 0.4804 | g_loss: 3.8905
2023-06-03 22:01:58 | Epoch [9/50] | Batch 340/509 | d_loss: 0.4031 | g_loss: 3.9605
2023-06-03 22:01:59 | Epoch [9/50] | Batch 345/509 | d_loss: 0.4338 | g_loss: 1.7894
2023-06-03 22:02:01 | Epoch [9/50] | Batch 350/509 | d_loss: 0.4582 | g_loss: 2.9505
2023-06-03 22:02:03 | Epoch [9/50] | Batch 355/509 | d_loss: 0.6558 | g_loss: 5.1551
2023-06-03 22:02:04 | Epoch [9/50] | Batch 360/509 | d_loss: 0.4067 | g_loss: 3.9946
2023-06-03 22:02:06 | Epoch [9/50] | Batch 365/509 | d_loss: 0.4789 | g_loss: 3.6817
2023-06-03 22:02:08 | Epoch [9/50] | Batch 370/509 | d_loss: 0.4186 | g_loss: 2.8851
2023-06-03 22:02:09 | Epoch [9/50] | Batch 375/509 | d_loss: 0.3710 | g_loss: 4.0803
2023-06-03 22:02:11 | Epoch [9/50] | Batch 380/509 | d_loss: 0.4524 | g_loss: 3.4938
2023-06-03 22:02:12 | Epoch [9/50] | Batch 385/509 | d_loss: 0.3569 | g_loss: 4.4563
2023-06-03 22:02:14 | Epoch [9/50] | Batch 390/509 | d_loss: 0.4438 | g_loss: 3.1417
2023-06-03 22:02:16 | Epoch [9/50] | Batch 395/509 | d_loss: 0.5467 | g_loss: 3.1096
2023-06-03 22:02:17 | Epoch [9/50] | Batch 400/509 | d_loss: 0.4768 | g_loss: 3.4317
2023-06-03 22:02:19 | Epoch [9/50] | Batch 405/509 | d_loss: 0.8432 | g_loss: 6.1004
2023-06-03 22:02:21 | Epoch [9/50] | Batch 410/509 | d_loss: 0.3967 | g_loss: 3.5064
2023-06-03 22:02:22 | Epoch [9/50] | Batch 415/509 | d_loss: 0.3738 | g_loss: 4.7769
2023-06-03 22:02:24 | Epoch [9/50] | Batch 420/509 | d_loss: 0.4069 | g_loss: 3.4344
2023-06-03 22:02:26 | Epoch [9/50] | Batch 425/509 | d_loss: 0.5438 | g_loss: 3.7786
2023-06-03 22:02:27 | Epoch [9/50] | Batch 430/509 | d_loss: 0.5565 | g_loss: 3.5606
2023-06-03 22:02:29 | Epoch [9/50] | Batch 435/509 | d_loss: 1.3117 | g_loss: 3.0357
2023-06-03 22:02:31 | Epoch [9/50] | Batch 440/509 | d_loss: 0.5180 | g_loss: 3.8175
2023-06-03 22:02:32 | Epoch [9/50] | Batch 445/509 | d_loss: 0.4983 | g_loss: 1.7951
2023-06-03 22:02:34 | Epoch [9/50] | Batch 450/509 | d_loss: 0.6479 | g_loss: 3.0599
2023-06-03 22:02:36 | Epoch [9/50] | Batch 455/509 | d_loss: 0.4386 | g_loss: 3.4553
2023-06-03 22:02:37 | Epoch [9/50] | Batch 460/509 | d_loss: 0.5114 | g_loss: 2.7332
2023-06-03 22:02:39 | Epoch [9/50] | Batch 465/509 | d_loss: 0.4332 | g_loss: 3.9223
2023-06-03 22:02:41 | Epoch [9/50] | Batch 470/509 | d_loss: 0.4803 | g_loss: 4.7019
2023-06-03 22:02:42 | Epoch [9/50] | Batch 475/509 | d_loss: 0.5099 | g_loss: 3.0692
2023-06-03 22:02:44 | Epoch [9/50] | Batch 480/509 | d_loss: 0.4744 | g_loss: 2.7328
2023-06-03 22:02:46 | Epoch [9/50] | Batch 485/509 | d_loss: 1.0541 | g_loss: 4.0703
2023-06-03 22:02:47 | Epoch [9/50] | Batch 490/509 | d_loss: 0.4037 | g_loss: 3.5458
2023-06-03 22:02:49 | Epoch [9/50] | Batch 495/509 | d_loss: 0.3995 | g_loss: 4.2977
2023-06-03 22:02:50 | Epoch [9/50] | Batch 500/509 | d_loss: 0.4642 | g_loss: 3.4390
2023-06-03 22:02:52 | Epoch [9/50] | Batch 505/509 | d_loss: 0.4753 | g_loss: 3.0617

2023-06-03 22:02:55 | Epoch [10/50] | Batch 0/509 | d_loss: 0.6930 | g_loss: 4.1981
2023-06-03 22:02:56 | Epoch [10/50] | Batch 5/509 | d_loss: 0.6767 | g_loss: 4.7939
2023-06-03 22:02:58 | Epoch [10/50] | Batch 10/509 | d_loss: 0.6652 | g_loss: 3.2189
2023-06-03 22:03:00 | Epoch [10/50] | Batch 15/509 | d_loss: 0.4110 | g_loss: 3.5783
2023-06-03 22:03:01 | Epoch [10/50] | Batch 20/509 | d_loss: 0.3868 | g_loss: 3.5079
2023-06-03 22:03:03 | Epoch [10/50] | Batch 25/509 | d_loss: 0.5053 | g_loss: 4.3147
2023-06-03 22:03:04 | Epoch [10/50] | Batch 30/509 | d_loss: 1.4955 | g_loss: 0.7797
2023-06-03 22:03:06 | Epoch [10/50] | Batch 35/509 | d_loss: 0.6217 | g_loss: 4.2931
2023-06-03 22:03:08 | Epoch [10/50] | Batch 40/509 | d_loss: 0.4455 | g_loss: 2.9389
2023-06-03 22:03:09 | Epoch [10/50] | Batch 45/509 | d_loss: 0.5168 | g_loss: 2.6844
2023-06-03 22:03:11 | Epoch [10/50] | Batch 50/509 | d_loss: 0.4118 | g_loss: 3.3455
2023-06-03 22:03:13 | Epoch [10/50] | Batch 55/509 | d_loss: 0.4862 | g_loss: 3.0183
2023-06-03 22:03:14 | Epoch [10/50] | Batch 60/509 | d_loss: 0.3820 | g_loss: 3.6595
2023-06-03 22:03:16 | Epoch [10/50] | Batch 65/509 | d_loss: 0.5298 | g_loss: 3.7969
2023-06-03 22:03:18 | Epoch [10/50] | Batch 70/509 | d_loss: 0.4409 | g_loss: 3.6865
2023-06-03 22:03:19 | Epoch [10/50] | Batch 75/509 | d_loss: 0.4050 | g_loss: 3.2819
2023-06-03 22:03:21 | Epoch [10/50] | Batch 80/509 | d_loss: 0.4517 | g_loss: 3.8944
2023-06-03 22:03:23 | Epoch [10/50] | Batch 85/509 | d_loss: 0.4774 | g_loss: 3.0126
2023-06-03 22:03:24 | Epoch [10/50] | Batch 90/509 | d_loss: 0.3807 | g_loss: 3.8645
2023-06-03 22:03:26 | Epoch [10/50] | Batch 95/509 | d_loss: 0.3991 | g_loss: 2.8920
2023-06-03 22:03:28 | Epoch [10/50] | Batch 100/509 | d_loss: 0.3697 | g_loss: 6.6047
2023-06-03 22:03:29 | Epoch [10/50] | Batch 105/509 | d_loss: 0.4069 | g_loss: 3.3275
2023-06-03 22:03:31 | Epoch [10/50] | Batch 110/509 | d_loss: 0.8597 | g_loss: 4.8206
2023-06-03 22:03:33 | Epoch [10/50] | Batch 115/509 | d_loss: 0.5776 | g_loss: 4.2170
2023-06-03 22:03:34 | Epoch [10/50] | Batch 120/509 | d_loss: 0.5764 | g_loss: 3.4854
2023-06-03 22:03:36 | Epoch [10/50] | Batch 125/509 | d_loss: 0.4072 | g_loss: 3.6820
2023-06-03 22:03:37 | Epoch [10/50] | Batch 130/509 | d_loss: 0.5277 | g_loss: 3.4766
2023-06-03 22:03:39 | Epoch [10/50] | Batch 135/509 | d_loss: 0.4251 | g_loss: 3.8308
2023-06-03 22:03:41 | Epoch [10/50] | Batch 140/509 | d_loss: 0.3790 | g_loss: 5.5199
2023-06-03 22:03:43 | Epoch [10/50] | Batch 145/509 | d_loss: 0.3797 | g_loss: 3.6987
2023-06-03 22:03:44 | Epoch [10/50] | Batch 150/509 | d_loss: 0.4926 | g_loss: 3.4236
2023-06-03 22:03:46 | Epoch [10/50] | Batch 155/509 | d_loss: 0.4880 | g_loss: 3.7493
2023-06-03 22:03:47 | Epoch [10/50] | Batch 160/509 | d_loss: 0.5320 | g_loss: 3.8908
2023-06-03 22:03:49 | Epoch [10/50] | Batch 165/509 | d_loss: 0.3908 | g_loss: 3.6477
2023-06-03 22:03:51 | Epoch [10/50] | Batch 170/509 | d_loss: 0.3946 | g_loss: 3.6561
2023-06-03 22:03:52 | Epoch [10/50] | Batch 175/509 | d_loss: 0.4142 | g_loss: 4.8699
2023-06-03 22:03:54 | Epoch [10/50] | Batch 180/509 | d_loss: 0.4282 | g_loss: 2.5780
2023-06-03 22:03:56 | Epoch [10/50] | Batch 185/509 | d_loss: 0.4318 | g_loss: 3.8148
2023-06-03 22:03:57 | Epoch [10/50] | Batch 190/509 | d_loss: 0.4433 | g_loss: 3.5015
2023-06-03 22:03:59 | Epoch [10/50] | Batch 195/509 | d_loss: 0.3970 | g_loss: 3.2838
2023-06-03 22:04:01 | Epoch [10/50] | Batch 200/509 | d_loss: 0.4192 | g_loss: 3.4397
2023-06-03 22:04:02 | Epoch [10/50] | Batch 205/509 | d_loss: 0.3675 | g_loss: 3.5192
2023-06-03 22:04:04 | Epoch [10/50] | Batch 210/509 | d_loss: 0.3649 | g_loss: 4.0981
2023-06-03 22:04:06 | Epoch [10/50] | Batch 215/509 | d_loss: 0.4403 | g_loss: 2.4678
2023-06-03 22:04:07 | Epoch [10/50] | Batch 220/509 | d_loss: 0.5460 | g_loss: 5.5516
2023-06-03 22:04:09 | Epoch [10/50] | Batch 225/509 | d_loss: 0.4435 | g_loss: 3.5905
2023-06-03 22:04:11 | Epoch [10/50] | Batch 230/509 | d_loss: 0.4173 | g_loss: 4.2119
2023-06-03 22:04:12 | Epoch [10/50] | Batch 235/509 | d_loss: 0.3626 | g_loss: 5.2779
2023-06-03 22:04:14 | Epoch [10/50] | Batch 240/509 | d_loss: 0.4558 | g_loss: 3.7211
2023-06-03 22:04:16 | Epoch [10/50] | Batch 245/509 | d_loss: 0.3902 | g_loss: 3.4548
2023-06-03 22:04:17 | Epoch [10/50] | Batch 250/509 | d_loss: 0.4177 | g_loss: 3.4835
2023-06-03 22:04:19 | Epoch [10/50] | Batch 255/509 | d_loss: 0.3576 | g_loss: 6.5374
2023-06-03 22:04:21 | Epoch [10/50] | Batch 260/509 | d_loss: 0.3998 | g_loss: 3.7517
2023-06-03 22:04:22 | Epoch [10/50] | Batch 265/509 | d_loss: 0.4207 | g_loss: 4.0916
2023-06-03 22:04:24 | Epoch [10/50] | Batch 270/509 | d_loss: 0.5523 | g_loss: 3.1047
2023-06-03 22:04:26 | Epoch [10/50] | Batch 275/509 | d_loss: 0.3618 | g_loss: 4.5765
2023-06-03 22:04:27 | Epoch [10/50] | Batch 280/509 | d_loss: 0.6532 | g_loss: 4.5815
2023-06-03 22:04:29 | Epoch [10/50] | Batch 285/509 | d_loss: 0.3517 | g_loss: 5.5222
2023-06-03 22:04:31 | Epoch [10/50] | Batch 290/509 | d_loss: 0.4117 | g_loss: 3.2198
2023-06-03 22:04:32 | Epoch [10/50] | Batch 295/509 | d_loss: 0.3627 | g_loss: 4.0271
2023-06-03 22:04:34 | Epoch [10/50] | Batch 300/509 | d_loss: 0.3743 | g_loss: 5.8018
2023-06-03 22:04:35 | Epoch [10/50] | Batch 305/509 | d_loss: 0.3549 | g_loss: 5.3778
2023-06-03 22:04:37 | Epoch [10/50] | Batch 310/509 | d_loss: 0.7762 | g_loss: 5.6261
2023-06-03 22:04:39 | Epoch [10/50] | Batch 315/509 | d_loss: 0.3738 | g_loss: 4.3186
2023-06-03 22:04:40 | Epoch [10/50] | Batch 320/509 | d_loss: 0.6661 | g_loss: 3.3133
2023-06-03 22:04:42 | Epoch [10/50] | Batch 325/509 | d_loss: 0.8086 | g_loss: 4.1864
2023-06-03 22:04:44 | Epoch [10/50] | Batch 330/509 | d_loss: 0.4311 | g_loss: 4.5240
2023-06-03 22:04:45 | Epoch [10/50] | Batch 335/509 | d_loss: 0.3795 | g_loss: 3.5562
2023-06-03 22:04:47 | Epoch [10/50] | Batch 340/509 | d_loss: 0.4151 | g_loss: 5.2519
2023-06-03 22:04:49 | Epoch [10/50] | Batch 345/509 | d_loss: 0.4306 | g_loss: 2.8943
2023-06-03 22:04:50 | Epoch [10/50] | Batch 350/509 | d_loss: 0.8308 | g_loss: 5.5931
2023-06-03 22:04:52 | Epoch [10/50] | Batch 355/509 | d_loss: 0.9292 | g_loss: 4.7180
2023-06-03 22:04:54 | Epoch [10/50] | Batch 360/509 | d_loss: 0.4341 | g_loss: 5.1607
2023-06-03 22:04:55 | Epoch [10/50] | Batch 365/509 | d_loss: 0.4350 | g_loss: 2.9285
2023-06-03 22:04:57 | Epoch [10/50] | Batch 370/509 | d_loss: 0.3781 | g_loss: 3.4366
2023-06-03 22:04:59 | Epoch [10/50] | Batch 375/509 | d_loss: 0.5445 | g_loss: 3.7452
2023-06-03 22:05:00 | Epoch [10/50] | Batch 380/509 | d_loss: 0.4373 | g_loss: 2.6501
2023-06-03 22:05:02 | Epoch [10/50] | Batch 385/509 | d_loss: 0.3997 | g_loss: 3.6578
2023-06-03 22:05:04 | Epoch [10/50] | Batch 390/509 | d_loss: 0.3511 | g_loss: 4.7644
2023-06-03 22:05:05 | Epoch [10/50] | Batch 395/509 | d_loss: 0.7816 | g_loss: 5.7778
2023-06-03 22:05:07 | Epoch [10/50] | Batch 400/509 | d_loss: 0.4217 | g_loss: 3.8495
2023-06-03 22:05:09 | Epoch [10/50] | Batch 405/509 | d_loss: 0.3670 | g_loss: 4.1295
2023-06-03 22:05:10 | Epoch [10/50] | Batch 410/509 | d_loss: 0.4160 | g_loss: 4.0780
2023-06-03 22:05:12 | Epoch [10/50] | Batch 415/509 | d_loss: 1.1303 | g_loss: 2.1388
2023-06-03 22:05:14 | Epoch [10/50] | Batch 420/509 | d_loss: 0.6223 | g_loss: 4.2288
2023-06-03 22:05:15 | Epoch [10/50] | Batch 425/509 | d_loss: 0.4842 | g_loss: 3.7114
2023-06-03 22:05:17 | Epoch [10/50] | Batch 430/509 | d_loss: 0.3639 | g_loss: 4.7653
2023-06-03 22:05:19 | Epoch [10/50] | Batch 435/509 | d_loss: 0.6127 | g_loss: 2.9033
2023-06-03 22:05:20 | Epoch [10/50] | Batch 440/509 | d_loss: 0.4140 | g_loss: 4.5712
2023-06-03 22:05:22 | Epoch [10/50] | Batch 445/509 | d_loss: 0.3962 | g_loss: 4.2750
2023-06-03 22:05:24 | Epoch [10/50] | Batch 450/509 | d_loss: 0.3653 | g_loss: 3.6362
2023-06-03 22:05:25 | Epoch [10/50] | Batch 455/509 | d_loss: 0.3748 | g_loss: 4.1967
2023-06-03 22:05:27 | Epoch [10/50] | Batch 460/509 | d_loss: 0.6874 | g_loss: 4.0536
2023-06-03 22:05:29 | Epoch [10/50] | Batch 465/509 | d_loss: 0.4152 | g_loss: 2.8573
2023-06-03 22:05:30 | Epoch [10/50] | Batch 470/509 | d_loss: 0.3963 | g_loss: 4.0989
2023-06-03 22:05:32 | Epoch [10/50] | Batch 475/509 | d_loss: 0.5133 | g_loss: 4.3172
2023-06-03 22:05:34 | Epoch [10/50] | Batch 480/509 | d_loss: 0.7620 | g_loss: 6.3678
2023-06-03 22:05:35 | Epoch [10/50] | Batch 485/509 | d_loss: 0.3775 | g_loss: 4.5576
2023-06-03 22:05:37 | Epoch [10/50] | Batch 490/509 | d_loss: 0.3914 | g_loss: 5.1360
2023-06-03 22:05:39 | Epoch [10/50] | Batch 495/509 | d_loss: 0.4775 | g_loss: 3.7083
2023-06-03 22:05:40 | Epoch [10/50] | Batch 500/509 | d_loss: 0.3994 | g_loss: 5.1069
2023-06-03 22:05:42 | Epoch [10/50] | Batch 505/509 | d_loss: 0.3966 | g_loss: 3.2025

2023-06-03 22:05:45 | Epoch [11/50] | Batch 0/509 | d_loss: 0.5117 | g_loss: 4.9893
2023-06-03 22:05:47 | Epoch [11/50] | Batch 5/509 | d_loss: 0.3469 | g_loss: 5.4760
2023-06-03 22:05:48 | Epoch [11/50] | Batch 10/509 | d_loss: 0.4186 | g_loss: 3.2685
2023-06-03 22:05:50 | Epoch [11/50] | Batch 15/509 | d_loss: 0.6434 | g_loss: 2.3843
2023-06-03 22:05:52 | Epoch [11/50] | Batch 20/509 | d_loss: 0.4603 | g_loss: 3.4060
2023-06-03 22:05:53 | Epoch [11/50] | Batch 25/509 | d_loss: 0.4928 | g_loss: 3.0301
2023-06-03 22:05:55 | Epoch [11/50] | Batch 30/509 | d_loss: 0.7601 | g_loss: 5.0014
2023-06-03 22:05:57 | Epoch [11/50] | Batch 35/509 | d_loss: 0.4950 | g_loss: 6.7376
2023-06-03 22:05:59 | Epoch [11/50] | Batch 40/509 | d_loss: 0.5222 | g_loss: 4.1193
2023-06-03 22:06:00 | Epoch [11/50] | Batch 45/509 | d_loss: 0.3932 | g_loss: 4.1422
2023-06-03 22:06:02 | Epoch [11/50] | Batch 50/509 | d_loss: 0.4146 | g_loss: 3.2263
2023-06-03 22:06:04 | Epoch [11/50] | Batch 55/509 | d_loss: 0.4125 | g_loss: 4.6244
2023-06-03 22:06:06 | Epoch [11/50] | Batch 60/509 | d_loss: 0.4904 | g_loss: 3.5507
2023-06-03 22:06:07 | Epoch [11/50] | Batch 65/509 | d_loss: 0.4729 | g_loss: 3.8204
2023-06-03 22:06:09 | Epoch [11/50] | Batch 70/509 | d_loss: 0.5606 | g_loss: 2.4916
2023-06-03 22:06:11 | Epoch [11/50] | Batch 75/509 | d_loss: 0.3574 | g_loss: 5.4206
2023-06-03 22:06:13 | Epoch [11/50] | Batch 80/509 | d_loss: 0.4043 | g_loss: 3.4007
2023-06-03 22:06:14 | Epoch [11/50] | Batch 85/509 | d_loss: 0.3973 | g_loss: 5.2573
2023-06-03 22:06:16 | Epoch [11/50] | Batch 90/509 | d_loss: 0.3914 | g_loss: 3.6640
2023-06-03 22:06:18 | Epoch [11/50] | Batch 95/509 | d_loss: 0.3551 | g_loss: 4.2387
2023-06-03 22:06:20 | Epoch [11/50] | Batch 100/509 | d_loss: 0.3882 | g_loss: 4.8854
2023-06-03 22:06:21 | Epoch [11/50] | Batch 105/509 | d_loss: 0.3787 | g_loss: 3.1580
2023-06-03 22:06:23 | Epoch [11/50] | Batch 110/509 | d_loss: 0.4066 | g_loss: 3.2183
2023-06-03 22:06:25 | Epoch [11/50] | Batch 115/509 | d_loss: 0.4255 | g_loss: 4.1587
2023-06-03 22:06:27 | Epoch [11/50] | Batch 120/509 | d_loss: 0.4202 | g_loss: 4.3417
2023-06-03 22:06:28 | Epoch [11/50] | Batch 125/509 | d_loss: 0.4052 | g_loss: 4.3923
2023-06-03 22:06:30 | Epoch [11/50] | Batch 130/509 | d_loss: 0.3739 | g_loss: 3.9199
2023-06-03 22:06:32 | Epoch [11/50] | Batch 135/509 | d_loss: 0.3988 | g_loss: 4.9370
2023-06-03 22:06:33 | Epoch [11/50] | Batch 140/509 | d_loss: 0.4836 | g_loss: 3.9325
2023-06-03 22:06:35 | Epoch [11/50] | Batch 145/509 | d_loss: 0.3863 | g_loss: 2.7007
2023-06-03 22:06:37 | Epoch [11/50] | Batch 150/509 | d_loss: 0.3711 | g_loss: 4.8609
2023-06-03 22:06:39 | Epoch [11/50] | Batch 155/509 | d_loss: 0.4835 | g_loss: 3.6490
2023-06-03 22:06:40 | Epoch [11/50] | Batch 160/509 | d_loss: 0.4202 | g_loss: 5.0895
2023-06-03 22:06:42 | Epoch [11/50] | Batch 165/509 | d_loss: 0.4207 | g_loss: 3.5358
2023-06-03 22:06:44 | Epoch [11/50] | Batch 170/509 | d_loss: 0.4327 | g_loss: 2.1064
2023-06-03 22:06:46 | Epoch [11/50] | Batch 175/509 | d_loss: 0.4409 | g_loss: 4.6362
2023-06-03 22:06:47 | Epoch [11/50] | Batch 180/509 | d_loss: 0.3791 | g_loss: 3.7117
2023-06-03 22:06:49 | Epoch [11/50] | Batch 185/509 | d_loss: 0.3541 | g_loss: 4.9729
2023-06-03 22:06:51 | Epoch [11/50] | Batch 190/509 | d_loss: 0.3881 | g_loss: 3.0089
2023-06-03 22:06:53 | Epoch [11/50] | Batch 195/509 | d_loss: 0.5510 | g_loss: 4.0275
2023-06-03 22:06:54 | Epoch [11/50] | Batch 200/509 | d_loss: 0.4276 | g_loss: 3.6691
2023-06-03 22:06:56 | Epoch [11/50] | Batch 205/509 | d_loss: 0.4362 | g_loss: 4.2757
2023-06-03 22:06:58 | Epoch [11/50] | Batch 210/509 | d_loss: 0.3733 | g_loss: 4.0101
2023-06-03 22:07:00 | Epoch [11/50] | Batch 215/509 | d_loss: 0.5848 | g_loss: 3.6481
2023-06-03 22:07:01 | Epoch [11/50] | Batch 220/509 | d_loss: 0.3890 | g_loss: 4.0363
2023-06-03 22:07:03 | Epoch [11/50] | Batch 225/509 | d_loss: 0.4126 | g_loss: 2.8429
2023-06-03 22:07:05 | Epoch [11/50] | Batch 230/509 | d_loss: 0.3685 | g_loss: 3.4840
2023-06-03 22:07:06 | Epoch [11/50] | Batch 235/509 | d_loss: 0.3649 | g_loss: 4.5954
2023-06-03 22:07:08 | Epoch [11/50] | Batch 240/509 | d_loss: 0.6613 | g_loss: 6.3393
2023-06-03 22:07:10 | Epoch [11/50] | Batch 245/509 | d_loss: 1.5373 | g_loss: 8.0627
2023-06-03 22:07:11 | Epoch [11/50] | Batch 250/509 | d_loss: 0.5027 | g_loss: 3.9395
2023-06-03 22:07:13 | Epoch [11/50] | Batch 255/509 | d_loss: 0.8510 | g_loss: 2.4084
2023-06-03 22:07:15 | Epoch [11/50] | Batch 260/509 | d_loss: 0.5137 | g_loss: 4.1347
2023-06-03 22:07:16 | Epoch [11/50] | Batch 265/509 | d_loss: 0.9980 | g_loss: 4.8166
2023-06-03 22:07:18 | Epoch [11/50] | Batch 270/509 | d_loss: 0.4873 | g_loss: 2.4728
2023-06-03 22:07:20 | Epoch [11/50] | Batch 275/509 | d_loss: 0.4785 | g_loss: 4.0033
2023-06-03 22:07:21 | Epoch [11/50] | Batch 280/509 | d_loss: 0.5161 | g_loss: 3.1074
2023-06-03 22:07:23 | Epoch [11/50] | Batch 285/509 | d_loss: 0.3725 | g_loss: 5.4692
2023-06-03 22:07:24 | Epoch [11/50] | Batch 290/509 | d_loss: 0.4863 | g_loss: 4.9659
2023-06-03 22:07:26 | Epoch [11/50] | Batch 295/509 | d_loss: 0.3793 | g_loss: 3.7750
2023-06-03 22:07:28 | Epoch [11/50] | Batch 300/509 | d_loss: 0.3796 | g_loss: 4.0089
2023-06-03 22:07:29 | Epoch [11/50] | Batch 305/509 | d_loss: 0.7496 | g_loss: 4.1929
2023-06-03 22:07:31 | Epoch [11/50] | Batch 310/509 | d_loss: 0.6121 | g_loss: 5.1336
2023-06-03 22:07:33 | Epoch [11/50] | Batch 315/509 | d_loss: 0.4462 | g_loss: 3.3973
2023-06-03 22:07:34 | Epoch [11/50] | Batch 320/509 | d_loss: 0.4869 | g_loss: 3.6727
2023-06-03 22:07:36 | Epoch [11/50] | Batch 325/509 | d_loss: 0.3812 | g_loss: 4.2165
2023-06-03 22:07:38 | Epoch [11/50] | Batch 330/509 | d_loss: 0.4689 | g_loss: 2.7563
2023-06-03 22:07:39 | Epoch [11/50] | Batch 335/509 | d_loss: 0.5321 | g_loss: 5.6080
2023-06-03 22:07:41 | Epoch [11/50] | Batch 340/509 | d_loss: 2.4134 | g_loss: 9.7345
2023-06-03 22:07:43 | Epoch [11/50] | Batch 345/509 | d_loss: 0.7286 | g_loss: 3.5200
2023-06-03 22:07:44 | Epoch [11/50] | Batch 350/509 | d_loss: 0.4481 | g_loss: 3.4532
2023-06-03 22:07:46 | Epoch [11/50] | Batch 355/509 | d_loss: 0.4528 | g_loss: 3.0193
2023-06-03 22:07:48 | Epoch [11/50] | Batch 360/509 | d_loss: 1.7070 | g_loss: 6.9524
2023-06-03 22:07:49 | Epoch [11/50] | Batch 365/509 | d_loss: 0.6050 | g_loss: 2.9683
2023-06-03 22:07:51 | Epoch [11/50] | Batch 370/509 | d_loss: 0.5014 | g_loss: 3.8362
2023-06-03 22:07:52 | Epoch [11/50] | Batch 375/509 | d_loss: 0.4964 | g_loss: 4.0101
2023-06-03 22:07:54 | Epoch [11/50] | Batch 380/509 | d_loss: 0.6256 | g_loss: 3.5049
2023-06-03 22:07:56 | Epoch [11/50] | Batch 385/509 | d_loss: 0.3901 | g_loss: 3.4534
2023-06-03 22:07:57 | Epoch [11/50] | Batch 390/509 | d_loss: 0.6828 | g_loss: 5.4003
2023-06-03 22:07:59 | Epoch [11/50] | Batch 395/509 | d_loss: 0.5158 | g_loss: 2.3675
2023-06-03 22:08:01 | Epoch [11/50] | Batch 400/509 | d_loss: 0.4648 | g_loss: 2.8493
2023-06-03 22:08:02 | Epoch [11/50] | Batch 405/509 | d_loss: 0.5718 | g_loss: 3.6411
2023-06-03 22:08:04 | Epoch [11/50] | Batch 410/509 | d_loss: 0.4202 | g_loss: 2.5715
2023-06-03 22:08:06 | Epoch [11/50] | Batch 415/509 | d_loss: 0.4945 | g_loss: 2.1862
2023-06-03 22:08:07 | Epoch [11/50] | Batch 420/509 | d_loss: 0.4203 | g_loss: 4.6658
2023-06-03 22:08:09 | Epoch [11/50] | Batch 425/509 | d_loss: 0.4204 | g_loss: 3.5179
2023-06-03 22:08:11 | Epoch [11/50] | Batch 430/509 | d_loss: 0.4287 | g_loss: 3.6704
2023-06-03 22:08:12 | Epoch [11/50] | Batch 435/509 | d_loss: 0.3648 | g_loss: 4.1605
2023-06-03 22:08:14 | Epoch [11/50] | Batch 440/509 | d_loss: 0.5266 | g_loss: 3.1316
2023-06-03 22:08:15 | Epoch [11/50] | Batch 445/509 | d_loss: 0.3935 | g_loss: 3.9752
2023-06-03 22:08:17 | Epoch [11/50] | Batch 450/509 | d_loss: 0.5275 | g_loss: 4.0840
2023-06-03 22:08:19 | Epoch [11/50] | Batch 455/509 | d_loss: 0.3876 | g_loss: 3.3684
2023-06-03 22:08:20 | Epoch [11/50] | Batch 460/509 | d_loss: 0.3870 | g_loss: 3.9682
2023-06-03 22:08:22 | Epoch [11/50] | Batch 465/509 | d_loss: 0.4322 | g_loss: 3.5215
2023-06-03 22:08:24 | Epoch [11/50] | Batch 470/509 | d_loss: 0.3532 | g_loss: 4.4888
2023-06-03 22:08:25 | Epoch [11/50] | Batch 475/509 | d_loss: 0.5457 | g_loss: 4.4044
2023-06-03 22:08:27 | Epoch [11/50] | Batch 480/509 | d_loss: 0.3583 | g_loss: 4.8647
2023-06-03 22:08:29 | Epoch [11/50] | Batch 485/509 | d_loss: 0.3723 | g_loss: 4.7821
2023-06-03 22:08:30 | Epoch [11/50] | Batch 490/509 | d_loss: 0.4344 | g_loss: 3.3893
2023-06-03 22:08:32 | Epoch [11/50] | Batch 495/509 | d_loss: 0.3905 | g_loss: 3.4611
2023-06-03 22:08:34 | Epoch [11/50] | Batch 500/509 | d_loss: 0.4044 | g_loss: 3.4920
2023-06-03 22:08:35 | Epoch [11/50] | Batch 505/509 | d_loss: 0.4350 | g_loss: 4.6547

2023-06-03 22:08:38 | Epoch [12/50] | Batch 0/509 | d_loss: 0.4175 | g_loss: 3.7269
2023-06-03 22:08:39 | Epoch [12/50] | Batch 5/509 | d_loss: 0.5890 | g_loss: 3.9542
2023-06-03 22:08:41 | Epoch [12/50] | Batch 10/509 | d_loss: 0.6536 | g_loss: 5.3459
2023-06-03 22:08:43 | Epoch [12/50] | Batch 15/509 | d_loss: 0.4315 | g_loss: 4.3601
2023-06-03 22:08:44 | Epoch [12/50] | Batch 20/509 | d_loss: 0.4899 | g_loss: 5.7190
2023-06-03 22:08:46 | Epoch [12/50] | Batch 25/509 | d_loss: 0.3783 | g_loss: 3.7432
2023-06-03 22:08:47 | Epoch [12/50] | Batch 30/509 | d_loss: 0.3633 | g_loss: 7.5317
2023-06-03 22:08:49 | Epoch [12/50] | Batch 35/509 | d_loss: 0.4794 | g_loss: 3.6441
2023-06-03 22:08:51 | Epoch [12/50] | Batch 40/509 | d_loss: 0.5767 | g_loss: 4.7648
2023-06-03 22:08:52 | Epoch [12/50] | Batch 45/509 | d_loss: 0.5208 | g_loss: 3.6477
2023-06-03 22:08:54 | Epoch [12/50] | Batch 50/509 | d_loss: 0.4713 | g_loss: 3.7318
2023-06-03 22:08:56 | Epoch [12/50] | Batch 55/509 | d_loss: 0.3759 | g_loss: 4.2739
2023-06-03 22:08:57 | Epoch [12/50] | Batch 60/509 | d_loss: 0.4257 | g_loss: 3.9830
2023-06-03 22:08:59 | Epoch [12/50] | Batch 65/509 | d_loss: 0.3723 | g_loss: 4.1783
2023-06-03 22:09:01 | Epoch [12/50] | Batch 70/509 | d_loss: 0.4190 | g_loss: 2.5010
2023-06-03 22:09:02 | Epoch [12/50] | Batch 75/509 | d_loss: 0.4347 | g_loss: 2.6529
2023-06-03 22:09:04 | Epoch [12/50] | Batch 80/509 | d_loss: 0.4738 | g_loss: 3.6129
2023-06-03 22:09:06 | Epoch [12/50] | Batch 85/509 | d_loss: 0.3848 | g_loss: 3.5984
2023-06-03 22:09:07 | Epoch [12/50] | Batch 90/509 | d_loss: 0.3898 | g_loss: 6.1189
2023-06-03 22:09:09 | Epoch [12/50] | Batch 95/509 | d_loss: 0.4600 | g_loss: 4.0536
2023-06-03 22:09:10 | Epoch [12/50] | Batch 100/509 | d_loss: 0.3430 | g_loss: 6.8108
2023-06-03 22:09:12 | Epoch [12/50] | Batch 105/509 | d_loss: 0.4269 | g_loss: 3.0895
2023-06-03 22:09:14 | Epoch [12/50] | Batch 110/509 | d_loss: 0.5799 | g_loss: 3.7972
2023-06-03 22:09:15 | Epoch [12/50] | Batch 115/509 | d_loss: 2.2322 | g_loss: 5.7473
2023-06-03 22:09:17 | Epoch [12/50] | Batch 120/509 | d_loss: 0.7713 | g_loss: 4.0320
2023-06-03 22:09:19 | Epoch [12/50] | Batch 125/509 | d_loss: 0.6785 | g_loss: 3.2848
2023-06-03 22:09:20 | Epoch [12/50] | Batch 130/509 | d_loss: 0.4806 | g_loss: 2.9740
2023-06-03 22:09:22 | Epoch [12/50] | Batch 135/509 | d_loss: 0.5402 | g_loss: 3.9831
2023-06-03 22:09:24 | Epoch [12/50] | Batch 140/509 | d_loss: 0.4821 | g_loss: 3.5285
2023-06-03 22:09:25 | Epoch [12/50] | Batch 145/509 | d_loss: 0.4927 | g_loss: 3.8819
2023-06-03 22:09:27 | Epoch [12/50] | Batch 150/509 | d_loss: 0.3649 | g_loss: 4.0229
2023-06-03 22:09:29 | Epoch [12/50] | Batch 155/509 | d_loss: 0.6179 | g_loss: 3.3860
2023-06-03 22:09:30 | Epoch [12/50] | Batch 160/509 | d_loss: 0.4135 | g_loss: 3.3083
2023-06-03 22:09:32 | Epoch [12/50] | Batch 165/509 | d_loss: 0.8845 | g_loss: 5.3771
2023-06-03 22:09:33 | Epoch [12/50] | Batch 170/509 | d_loss: 0.8300 | g_loss: 5.4688
2023-06-03 22:09:35 | Epoch [12/50] | Batch 175/509 | d_loss: 0.4955 | g_loss: 3.5928
2023-06-03 22:09:37 | Epoch [12/50] | Batch 180/509 | d_loss: 0.4771 | g_loss: 3.5546
2023-06-03 22:09:38 | Epoch [12/50] | Batch 185/509 | d_loss: 0.5095 | g_loss: 3.6152
2023-06-03 22:09:40 | Epoch [12/50] | Batch 190/509 | d_loss: 1.9481 | g_loss: 2.7965
2023-06-03 22:09:42 | Epoch [12/50] | Batch 195/509 | d_loss: 0.4848 | g_loss: 3.7267
2023-06-03 22:09:43 | Epoch [12/50] | Batch 200/509 | d_loss: 0.4882 | g_loss: 2.5939
2023-06-03 22:09:45 | Epoch [12/50] | Batch 205/509 | d_loss: 0.4263 | g_loss: 4.2667
2023-06-03 22:09:47 | Epoch [12/50] | Batch 210/509 | d_loss: 0.6020 | g_loss: 2.1575
2023-06-03 22:09:48 | Epoch [12/50] | Batch 215/509 | d_loss: 0.8072 | g_loss: 3.6556
2023-06-03 22:09:50 | Epoch [12/50] | Batch 220/509 | d_loss: 0.4359 | g_loss: 3.3761
2023-06-03 22:09:51 | Epoch [12/50] | Batch 225/509 | d_loss: 0.4275 | g_loss: 3.2339
2023-06-03 22:09:53 | Epoch [12/50] | Batch 230/509 | d_loss: 0.4562 | g_loss: 3.0910
2023-06-03 22:09:55 | Epoch [12/50] | Batch 235/509 | d_loss: 0.4399 | g_loss: 2.9676
2023-06-03 22:09:56 | Epoch [12/50] | Batch 240/509 | d_loss: 0.4023 | g_loss: 3.1050
2023-06-03 22:09:58 | Epoch [12/50] | Batch 245/509 | d_loss: 0.4404 | g_loss: 2.9811
2023-06-03 22:10:00 | Epoch [12/50] | Batch 250/509 | d_loss: 0.3835 | g_loss: 4.3389
2023-06-03 22:10:01 | Epoch [12/50] | Batch 255/509 | d_loss: 0.3776 | g_loss: 3.8670
2023-06-03 22:10:03 | Epoch [12/50] | Batch 260/509 | d_loss: 0.4137 | g_loss: 3.3503
2023-06-03 22:10:05 | Epoch [12/50] | Batch 265/509 | d_loss: 0.3748 | g_loss: 4.5878
2023-06-03 22:10:06 | Epoch [12/50] | Batch 270/509 | d_loss: 0.3868 | g_loss: 4.4835
2023-06-03 22:10:08 | Epoch [12/50] | Batch 275/509 | d_loss: 0.3587 | g_loss: 4.8315
2023-06-03 22:10:10 | Epoch [12/50] | Batch 280/509 | d_loss: 0.4252 | g_loss: 3.5256
2023-06-03 22:10:11 | Epoch [12/50] | Batch 285/509 | d_loss: 0.3570 | g_loss: 4.4735
2023-06-03 22:10:13 | Epoch [12/50] | Batch 290/509 | d_loss: 1.4085 | g_loss: 0.8605
2023-06-03 22:10:14 | Epoch [12/50] | Batch 295/509 | d_loss: 0.3725 | g_loss: 4.0841
2023-06-03 22:10:16 | Epoch [12/50] | Batch 300/509 | d_loss: 0.5514 | g_loss: 2.8231
2023-06-03 22:10:18 | Epoch [12/50] | Batch 305/509 | d_loss: 0.3664 | g_loss: 4.9091
2023-06-03 22:10:19 | Epoch [12/50] | Batch 310/509 | d_loss: 0.5557 | g_loss: 3.6673
2023-06-03 22:10:21 | Epoch [12/50] | Batch 315/509 | d_loss: 0.4927 | g_loss: 2.6379
2023-06-03 22:10:23 | Epoch [12/50] | Batch 320/509 | d_loss: 0.4861 | g_loss: 3.3411
2023-06-03 22:10:24 | Epoch [12/50] | Batch 325/509 | d_loss: 0.4408 | g_loss: 4.9766
2023-06-03 22:10:26 | Epoch [12/50] | Batch 330/509 | d_loss: 0.6208 | g_loss: 3.0856
2023-06-03 22:10:28 | Epoch [12/50] | Batch 335/509 | d_loss: 0.3919 | g_loss: 5.9331
2023-06-03 22:10:29 | Epoch [12/50] | Batch 340/509 | d_loss: 0.3978 | g_loss: 6.2806
2023-06-03 22:10:31 | Epoch [12/50] | Batch 345/509 | d_loss: 0.3659 | g_loss: 5.3434
2023-06-03 22:10:32 | Epoch [12/50] | Batch 350/509 | d_loss: 0.5027 | g_loss: 4.1050
2023-06-03 22:10:34 | Epoch [12/50] | Batch 355/509 | d_loss: 0.3798 | g_loss: 4.2828
2023-06-03 22:10:36 | Epoch [12/50] | Batch 360/509 | d_loss: 0.7237 | g_loss: 5.1453
2023-06-03 22:10:37 | Epoch [12/50] | Batch 365/509 | d_loss: 0.4520 | g_loss: 3.5332
2023-06-03 22:10:39 | Epoch [12/50] | Batch 370/509 | d_loss: 0.5220 | g_loss: 4.5858
2023-06-03 22:10:41 | Epoch [12/50] | Batch 375/509 | d_loss: 0.3729 | g_loss: 4.0596
2023-06-03 22:10:42 | Epoch [12/50] | Batch 380/509 | d_loss: 0.3999 | g_loss: 3.0930
2023-06-03 22:10:44 | Epoch [12/50] | Batch 385/509 | d_loss: 0.3893 | g_loss: 3.6639
2023-06-03 22:10:46 | Epoch [12/50] | Batch 390/509 | d_loss: 0.4819 | g_loss: 3.9944
2023-06-03 22:10:47 | Epoch [12/50] | Batch 395/509 | d_loss: 0.3788 | g_loss: 4.3598
2023-06-03 22:10:49 | Epoch [12/50] | Batch 400/509 | d_loss: 0.3583 | g_loss: 4.2590
2023-06-03 22:10:51 | Epoch [12/50] | Batch 405/509 | d_loss: 0.3917 | g_loss: 4.3254
2023-06-03 22:10:52 | Epoch [12/50] | Batch 410/509 | d_loss: 0.3761 | g_loss: 4.9073
2023-06-03 22:10:54 | Epoch [12/50] | Batch 415/509 | d_loss: 0.3741 | g_loss: 5.1033
2023-06-03 22:10:55 | Epoch [12/50] | Batch 420/509 | d_loss: 0.3681 | g_loss: 5.0976
2023-06-03 22:10:57 | Epoch [12/50] | Batch 425/509 | d_loss: 0.3811 | g_loss: 4.8957
2023-06-03 22:10:59 | Epoch [12/50] | Batch 430/509 | d_loss: 0.3946 | g_loss: 3.6886
2023-06-03 22:11:00 | Epoch [12/50] | Batch 435/509 | d_loss: 0.4331 | g_loss: 4.9324
2023-06-03 22:11:02 | Epoch [12/50] | Batch 440/509 | d_loss: 0.4315 | g_loss: 3.2677
2023-06-03 22:11:04 | Epoch [12/50] | Batch 445/509 | d_loss: 0.5381 | g_loss: 3.0859
2023-06-03 22:11:05 | Epoch [12/50] | Batch 450/509 | d_loss: 0.5870 | g_loss: 5.3465
2023-06-03 22:11:07 | Epoch [12/50] | Batch 455/509 | d_loss: 0.3604 | g_loss: 5.6359
2023-06-03 22:11:09 | Epoch [12/50] | Batch 460/509 | d_loss: 0.4737 | g_loss: 3.5335
2023-06-03 22:11:10 | Epoch [12/50] | Batch 465/509 | d_loss: 0.3611 | g_loss: 3.8582
2023-06-03 22:11:12 | Epoch [12/50] | Batch 470/509 | d_loss: 0.3548 | g_loss: 5.8095
2023-06-03 22:11:13 | Epoch [12/50] | Batch 475/509 | d_loss: 0.3656 | g_loss: 4.8733
2023-06-03 22:11:15 | Epoch [12/50] | Batch 480/509 | d_loss: 0.4543 | g_loss: 4.4143
2023-06-03 22:11:17 | Epoch [12/50] | Batch 485/509 | d_loss: 0.3832 | g_loss: 5.8357
2023-06-03 22:11:18 | Epoch [12/50] | Batch 490/509 | d_loss: 0.5160 | g_loss: 3.9731
2023-06-03 22:11:20 | Epoch [12/50] | Batch 495/509 | d_loss: 0.4524 | g_loss: 3.9636
2023-06-03 22:11:22 | Epoch [12/50] | Batch 500/509 | d_loss: 0.5774 | g_loss: 6.1407
2023-06-03 22:11:23 | Epoch [12/50] | Batch 505/509 | d_loss: 1.5556 | g_loss: 7.0028

2023-06-03 22:11:26 | Epoch [13/50] | Batch 0/509 | d_loss: 0.4961 | g_loss: 4.1978
2023-06-03 22:11:28 | Epoch [13/50] | Batch 5/509 | d_loss: 0.4643 | g_loss: 3.5525
2023-06-03 22:11:29 | Epoch [13/50] | Batch 10/509 | d_loss: 0.4508 | g_loss: 3.8280
2023-06-03 22:11:31 | Epoch [13/50] | Batch 15/509 | d_loss: 0.4077 | g_loss: 4.1446
2023-06-03 22:11:32 | Epoch [13/50] | Batch 20/509 | d_loss: 0.4833 | g_loss: 3.6254
2023-06-03 22:11:34 | Epoch [13/50] | Batch 25/509 | d_loss: 0.3699 | g_loss: 3.8595
2023-06-03 22:11:36 | Epoch [13/50] | Batch 30/509 | d_loss: 0.4378 | g_loss: 2.9336
2023-06-03 22:11:37 | Epoch [13/50] | Batch 35/509 | d_loss: 0.4123 | g_loss: 3.6858
2023-06-03 22:11:39 | Epoch [13/50] | Batch 40/509 | d_loss: 0.8067 | g_loss: 5.6567
2023-06-03 22:11:41 | Epoch [13/50] | Batch 45/509 | d_loss: 0.3930 | g_loss: 3.6053
2023-06-03 22:11:42 | Epoch [13/50] | Batch 50/509 | d_loss: 0.4561 | g_loss: 5.2851
2023-06-03 22:11:44 | Epoch [13/50] | Batch 55/509 | d_loss: 0.4140 | g_loss: 4.3259
2023-06-03 22:11:46 | Epoch [13/50] | Batch 60/509 | d_loss: 0.3742 | g_loss: 4.8835
2023-06-03 22:11:47 | Epoch [13/50] | Batch 65/509 | d_loss: 0.5018 | g_loss: 3.5048
2023-06-03 22:11:49 | Epoch [13/50] | Batch 70/509 | d_loss: 0.3597 | g_loss: 4.8651
2023-06-03 22:11:51 | Epoch [13/50] | Batch 75/509 | d_loss: 0.3830 | g_loss: 3.9070
2023-06-03 22:11:52 | Epoch [13/50] | Batch 80/509 | d_loss: 0.4289 | g_loss: 3.8376
2023-06-03 22:11:54 | Epoch [13/50] | Batch 85/509 | d_loss: 0.3506 | g_loss: 5.7658
2023-06-03 22:11:55 | Epoch [13/50] | Batch 90/509 | d_loss: 0.3675 | g_loss: 4.0074
2023-06-03 22:11:57 | Epoch [13/50] | Batch 95/509 | d_loss: 0.5023 | g_loss: 3.2617
2023-06-03 22:11:59 | Epoch [13/50] | Batch 100/509 | d_loss: 0.3782 | g_loss: 4.6246
2023-06-03 22:12:00 | Epoch [13/50] | Batch 105/509 | d_loss: 0.5341 | g_loss: 5.0974
2023-06-03 22:12:02 | Epoch [13/50] | Batch 110/509 | d_loss: 1.2321 | g_loss: 2.2368
2023-06-03 22:12:04 | Epoch [13/50] | Batch 115/509 | d_loss: 0.4630 | g_loss: 7.1109
2023-06-03 22:12:05 | Epoch [13/50] | Batch 120/509 | d_loss: 0.8773 | g_loss: 5.7711
2023-06-03 22:12:07 | Epoch [13/50] | Batch 125/509 | d_loss: 0.5109 | g_loss: 2.9169
2023-06-03 22:12:09 | Epoch [13/50] | Batch 130/509 | d_loss: 0.7694 | g_loss: 1.3213
2023-06-03 22:12:10 | Epoch [13/50] | Batch 135/509 | d_loss: 0.4644 | g_loss: 3.9172
2023-06-03 22:12:12 | Epoch [13/50] | Batch 140/509 | d_loss: 0.4033 | g_loss: 3.5405
2023-06-03 22:12:13 | Epoch [13/50] | Batch 145/509 | d_loss: 0.4016 | g_loss: 4.0369
2023-06-03 22:12:15 | Epoch [13/50] | Batch 150/509 | d_loss: 0.4218 | g_loss: 4.0584
2023-06-03 22:12:17 | Epoch [13/50] | Batch 155/509 | d_loss: 0.9218 | g_loss: 3.7961
2023-06-03 22:12:18 | Epoch [13/50] | Batch 160/509 | d_loss: 0.5611 | g_loss: 2.9914
2023-06-03 22:12:20 | Epoch [13/50] | Batch 165/509 | d_loss: 0.5372 | g_loss: 3.4366
2023-06-03 22:12:22 | Epoch [13/50] | Batch 170/509 | d_loss: 0.4574 | g_loss: 3.7034
2023-06-03 22:12:23 | Epoch [13/50] | Batch 175/509 | d_loss: 0.4573 | g_loss: 2.8163
2023-06-03 22:12:25 | Epoch [13/50] | Batch 180/509 | d_loss: 0.3977 | g_loss: 3.6317
2023-06-03 22:12:27 | Epoch [13/50] | Batch 185/509 | d_loss: 0.4778 | g_loss: 2.9247
2023-06-03 22:12:28 | Epoch [13/50] | Batch 190/509 | d_loss: 0.3557 | g_loss: 4.6690
2023-06-03 22:12:30 | Epoch [13/50] | Batch 195/509 | d_loss: 0.4049 | g_loss: 3.7473
2023-06-03 22:12:31 | Epoch [13/50] | Batch 200/509 | d_loss: 0.4777 | g_loss: 3.8182
2023-06-03 22:12:33 | Epoch [13/50] | Batch 205/509 | d_loss: 0.3860 | g_loss: 3.5521
2023-06-03 22:12:35 | Epoch [13/50] | Batch 210/509 | d_loss: 0.4509 | g_loss: 3.5192
2023-06-03 22:12:36 | Epoch [13/50] | Batch 215/509 | d_loss: 0.3603 | g_loss: 5.3469
2023-06-03 22:12:38 | Epoch [13/50] | Batch 220/509 | d_loss: 0.3758 | g_loss: 4.5897
2023-06-03 22:12:40 | Epoch [13/50] | Batch 225/509 | d_loss: 0.3609 | g_loss: 4.9301
2023-06-03 22:12:41 | Epoch [13/50] | Batch 230/509 | d_loss: 0.4169 | g_loss: 5.6734
2023-06-03 22:12:43 | Epoch [13/50] | Batch 235/509 | d_loss: 0.4780 | g_loss: 3.4426
2023-06-03 22:12:45 | Epoch [13/50] | Batch 240/509 | d_loss: 0.5385 | g_loss: 3.9032
2023-06-03 22:12:46 | Epoch [13/50] | Batch 245/509 | d_loss: 0.4675 | g_loss: 3.8338
2023-06-03 22:12:48 | Epoch [13/50] | Batch 250/509 | d_loss: 0.3988 | g_loss: 4.2316
2023-06-03 22:12:50 | Epoch [13/50] | Batch 255/509 | d_loss: 0.3760 | g_loss: 4.3194
2023-06-03 22:12:51 | Epoch [13/50] | Batch 260/509 | d_loss: 0.4322 | g_loss: 4.3969
2023-06-03 22:12:53 | Epoch [13/50] | Batch 265/509 | d_loss: 0.5057 | g_loss: 5.7595
2023-06-03 22:12:54 | Epoch [13/50] | Batch 270/509 | d_loss: 0.3804 | g_loss: 3.4573
2023-06-03 22:12:56 | Epoch [13/50] | Batch 275/509 | d_loss: 0.3617 | g_loss: 5.7079
2023-06-03 22:12:58 | Epoch [13/50] | Batch 280/509 | d_loss: 0.3904 | g_loss: 3.6172
2023-06-03 22:12:59 | Epoch [13/50] | Batch 285/509 | d_loss: 0.3590 | g_loss: 5.6556
2023-06-03 22:13:01 | Epoch [13/50] | Batch 290/509 | d_loss: 0.3514 | g_loss: 5.4086
2023-06-03 22:13:03 | Epoch [13/50] | Batch 295/509 | d_loss: 0.3854 | g_loss: 3.7987
2023-06-03 22:13:04 | Epoch [13/50] | Batch 300/509 | d_loss: 0.3602 | g_loss: 4.9308
2023-06-03 22:13:06 | Epoch [13/50] | Batch 305/509 | d_loss: 0.3542 | g_loss: 5.4777
2023-06-03 22:13:07 | Epoch [13/50] | Batch 310/509 | d_loss: 0.3716 | g_loss: 4.6075
2023-06-03 22:13:09 | Epoch [13/50] | Batch 315/509 | d_loss: 0.3537 | g_loss: 4.4164
2023-06-03 22:13:11 | Epoch [13/50] | Batch 320/509 | d_loss: 0.6285 | g_loss: 6.5598
2023-06-03 22:13:12 | Epoch [13/50] | Batch 325/509 | d_loss: 0.3782 | g_loss: 4.3720
2023-06-03 22:13:14 | Epoch [13/50] | Batch 330/509 | d_loss: 0.3854 | g_loss: 4.7295
2023-06-03 22:13:16 | Epoch [13/50] | Batch 335/509 | d_loss: 0.3540 | g_loss: 5.5666
2023-06-03 22:13:17 | Epoch [13/50] | Batch 340/509 | d_loss: 0.3641 | g_loss: 4.5711
2023-06-03 22:13:19 | Epoch [13/50] | Batch 345/509 | d_loss: 0.3550 | g_loss: 4.5802
2023-06-03 22:13:21 | Epoch [13/50] | Batch 350/509 | d_loss: 0.9309 | g_loss: 5.3767
2023-06-03 22:13:22 | Epoch [13/50] | Batch 355/509 | d_loss: 1.0743 | g_loss: 2.0050
2023-06-03 22:13:24 | Epoch [13/50] | Batch 360/509 | d_loss: 0.5753 | g_loss: 6.7787
2023-06-03 22:13:25 | Epoch [13/50] | Batch 365/509 | d_loss: 0.5111 | g_loss: 3.3020
2023-06-03 22:13:27 | Epoch [13/50] | Batch 370/509 | d_loss: 0.4976 | g_loss: 3.3391
2023-06-03 22:13:29 | Epoch [13/50] | Batch 375/509 | d_loss: 0.3853 | g_loss: 3.9642
2023-06-03 22:13:30 | Epoch [13/50] | Batch 380/509 | d_loss: 0.4398 | g_loss: 3.6407
2023-06-03 22:13:32 | Epoch [13/50] | Batch 385/509 | d_loss: 0.4013 | g_loss: 4.5498
2023-06-03 22:13:34 | Epoch [13/50] | Batch 390/509 | d_loss: 0.3757 | g_loss: 4.6477
2023-06-03 22:13:35 | Epoch [13/50] | Batch 395/509 | d_loss: 0.4229 | g_loss: 2.9141
2023-06-03 22:13:37 | Epoch [13/50] | Batch 400/509 | d_loss: 0.3634 | g_loss: 4.7723
2023-06-03 22:13:39 | Epoch [13/50] | Batch 405/509 | d_loss: 0.3549 | g_loss: 4.3461
2023-06-03 22:13:40 | Epoch [13/50] | Batch 410/509 | d_loss: 0.3747 | g_loss: 4.5478
2023-06-03 22:13:42 | Epoch [13/50] | Batch 415/509 | d_loss: 0.3568 | g_loss: 5.5780
2023-06-03 22:13:43 | Epoch [13/50] | Batch 420/509 | d_loss: 0.3906 | g_loss: 3.8133
2023-06-03 22:13:45 | Epoch [13/50] | Batch 425/509 | d_loss: 0.4287 | g_loss: 4.2673
2023-06-03 22:13:47 | Epoch [13/50] | Batch 430/509 | d_loss: 0.4257 | g_loss: 3.7958
2023-06-03 22:13:48 | Epoch [13/50] | Batch 435/509 | d_loss: 0.3601 | g_loss: 5.0707
2023-06-03 22:13:50 | Epoch [13/50] | Batch 440/509 | d_loss: 0.8178 | g_loss: 7.9436
2023-06-03 22:13:52 | Epoch [13/50] | Batch 445/509 | d_loss: 2.9240 | g_loss: 7.7520
2023-06-03 22:13:53 | Epoch [13/50] | Batch 450/509 | d_loss: 0.7571 | g_loss: 3.2251
2023-06-03 22:13:55 | Epoch [13/50] | Batch 455/509 | d_loss: 1.9811 | g_loss: 1.3584
2023-06-03 22:13:57 | Epoch [13/50] | Batch 460/509 | d_loss: 0.5069 | g_loss: 4.4240
2023-06-03 22:13:58 | Epoch [13/50] | Batch 465/509 | d_loss: 1.1282 | g_loss: 7.2994
2023-06-03 22:14:00 | Epoch [13/50] | Batch 470/509 | d_loss: 0.4408 | g_loss: 3.5514
2023-06-03 22:14:01 | Epoch [13/50] | Batch 475/509 | d_loss: 0.5951 | g_loss: 4.3415
2023-06-03 22:14:03 | Epoch [13/50] | Batch 480/509 | d_loss: 0.4020 | g_loss: 3.6697
2023-06-03 22:14:05 | Epoch [13/50] | Batch 485/509 | d_loss: 0.5670 | g_loss: 1.9850
2023-06-03 22:14:06 | Epoch [13/50] | Batch 490/509 | d_loss: 0.4697 | g_loss: 5.3870
2023-06-03 22:14:08 | Epoch [13/50] | Batch 495/509 | d_loss: 0.4693 | g_loss: 3.5453
2023-06-03 22:14:10 | Epoch [13/50] | Batch 500/509 | d_loss: 0.4120 | g_loss: 4.2181
2023-06-03 22:14:11 | Epoch [13/50] | Batch 505/509 | d_loss: 0.4259 | g_loss: 3.8734

2023-06-03 22:14:14 | Epoch [14/50] | Batch 0/509 | d_loss: 0.4493 | g_loss: 2.9203
2023-06-03 22:14:15 | Epoch [14/50] | Batch 5/509 | d_loss: 0.4219 | g_loss: 4.9761
2023-06-03 22:14:17 | Epoch [14/50] | Batch 10/509 | d_loss: 0.3915 | g_loss: 6.3802
2023-06-03 22:14:19 | Epoch [14/50] | Batch 15/509 | d_loss: 0.3924 | g_loss: 3.7703
2023-06-03 22:14:20 | Epoch [14/50] | Batch 20/509 | d_loss: 0.6410 | g_loss: 3.9519
2023-06-03 22:14:22 | Epoch [14/50] | Batch 25/509 | d_loss: 0.6801 | g_loss: 4.9864
2023-06-03 22:14:24 | Epoch [14/50] | Batch 30/509 | d_loss: 0.7619 | g_loss: 3.6714
2023-06-03 22:14:25 | Epoch [14/50] | Batch 35/509 | d_loss: 0.3779 | g_loss: 4.7433
2023-06-03 22:14:27 | Epoch [14/50] | Batch 40/509 | d_loss: 0.4814 | g_loss: 4.2817
2023-06-03 22:14:28 | Epoch [14/50] | Batch 45/509 | d_loss: 0.5278 | g_loss: 3.8579
2023-06-03 22:14:30 | Epoch [14/50] | Batch 50/509 | d_loss: 0.4675 | g_loss: 2.9672
2023-06-03 22:14:32 | Epoch [14/50] | Batch 55/509 | d_loss: 0.4494 | g_loss: 3.5808
2023-06-03 22:14:33 | Epoch [14/50] | Batch 60/509 | d_loss: 0.3605 | g_loss: 4.2551
2023-06-03 22:14:35 | Epoch [14/50] | Batch 65/509 | d_loss: 0.3912 | g_loss: 3.3394
2023-06-03 22:14:37 | Epoch [14/50] | Batch 70/509 | d_loss: 0.5285 | g_loss: 2.8214
2023-06-03 22:14:38 | Epoch [14/50] | Batch 75/509 | d_loss: 0.4095 | g_loss: 4.8877
2023-06-03 22:14:40 | Epoch [14/50] | Batch 80/509 | d_loss: 0.4537 | g_loss: 4.5623
2023-06-03 22:14:42 | Epoch [14/50] | Batch 85/509 | d_loss: 0.3568 | g_loss: 5.0407
2023-06-03 22:14:43 | Epoch [14/50] | Batch 90/509 | d_loss: 0.4352 | g_loss: 3.3923
2023-06-03 22:14:45 | Epoch [14/50] | Batch 95/509 | d_loss: 0.4130 | g_loss: 2.6858
2023-06-03 22:14:46 | Epoch [14/50] | Batch 100/509 | d_loss: 0.5253 | g_loss: 4.5937
2023-06-03 22:14:48 | Epoch [14/50] | Batch 105/509 | d_loss: 0.5271 | g_loss: 4.4774
2023-06-03 22:14:50 | Epoch [14/50] | Batch 110/509 | d_loss: 0.3663 | g_loss: 5.0212
2023-06-03 22:14:51 | Epoch [14/50] | Batch 115/509 | d_loss: 0.5358 | g_loss: 4.3333
2023-06-03 22:14:53 | Epoch [14/50] | Batch 120/509 | d_loss: 0.3730 | g_loss: 3.3242
2023-06-03 22:14:55 | Epoch [14/50] | Batch 125/509 | d_loss: 0.4252 | g_loss: 4.5071
2023-06-03 22:14:56 | Epoch [14/50] | Batch 130/509 | d_loss: 0.4611 | g_loss: 4.2686
2023-06-03 22:14:58 | Epoch [14/50] | Batch 135/509 | d_loss: 0.3544 | g_loss: 4.8469
2023-06-03 22:15:00 | Epoch [14/50] | Batch 140/509 | d_loss: 0.4734 | g_loss: 4.6419
2023-06-03 22:15:01 | Epoch [14/50] | Batch 145/509 | d_loss: 0.3761 | g_loss: 3.6766
2023-06-03 22:15:03 | Epoch [14/50] | Batch 150/509 | d_loss: 0.4907 | g_loss: 4.4217
2023-06-03 22:15:04 | Epoch [14/50] | Batch 155/509 | d_loss: 0.3593 | g_loss: 5.8670
2023-06-03 22:15:06 | Epoch [14/50] | Batch 160/509 | d_loss: 0.3946 | g_loss: 3.9068
2023-06-03 22:15:08 | Epoch [14/50] | Batch 165/509 | d_loss: 0.4132 | g_loss: 3.2773
2023-06-03 22:15:09 | Epoch [14/50] | Batch 170/509 | d_loss: 0.3469 | g_loss: 5.1762
2023-06-03 22:15:11 | Epoch [14/50] | Batch 175/509 | d_loss: 0.4245 | g_loss: 4.5714
2023-06-03 22:15:13 | Epoch [14/50] | Batch 180/509 | d_loss: 0.7207 | g_loss: 5.5865
2023-06-03 22:15:14 | Epoch [14/50] | Batch 185/509 | d_loss: 0.4437 | g_loss: 5.8101
2023-06-03 22:15:16 | Epoch [14/50] | Batch 190/509 | d_loss: 0.4240 | g_loss: 3.4490
2023-06-03 22:15:18 | Epoch [14/50] | Batch 195/509 | d_loss: 0.4340 | g_loss: 3.3412
2023-06-03 22:15:19 | Epoch [14/50] | Batch 200/509 | d_loss: 0.3571 | g_loss: 6.3830
2023-06-03 22:15:21 | Epoch [14/50] | Batch 205/509 | d_loss: 0.3757 | g_loss: 3.9838
2023-06-03 22:15:22 | Epoch [14/50] | Batch 210/509 | d_loss: 0.4294 | g_loss: 3.8853
2023-06-03 22:15:24 | Epoch [14/50] | Batch 215/509 | d_loss: 0.3807 | g_loss: 3.6855
2023-06-03 22:15:26 | Epoch [14/50] | Batch 220/509 | d_loss: 0.4545 | g_loss: 7.2668
2023-06-03 22:15:27 | Epoch [14/50] | Batch 225/509 | d_loss: 0.5015 | g_loss: 2.8421
2023-06-03 22:15:29 | Epoch [14/50] | Batch 230/509 | d_loss: 0.3909 | g_loss: 4.6781
2023-06-03 22:15:31 | Epoch [14/50] | Batch 235/509 | d_loss: 0.3785 | g_loss: 4.2343
2023-06-03 22:15:32 | Epoch [14/50] | Batch 240/509 | d_loss: 0.4054 | g_loss: 2.7357
2023-06-03 22:15:34 | Epoch [14/50] | Batch 245/509 | d_loss: 0.3792 | g_loss: 4.5314
2023-06-03 22:15:36 | Epoch [14/50] | Batch 250/509 | d_loss: 0.4279 | g_loss: 5.7848
2023-06-03 22:15:37 | Epoch [14/50] | Batch 255/509 | d_loss: 0.3818 | g_loss: 4.2866
2023-06-03 22:15:39 | Epoch [14/50] | Batch 260/509 | d_loss: 0.4357 | g_loss: 4.1747
2023-06-03 22:15:41 | Epoch [14/50] | Batch 265/509 | d_loss: 0.3859 | g_loss: 3.9452
2023-06-03 22:15:42 | Epoch [14/50] | Batch 270/509 | d_loss: 0.4499 | g_loss: 4.6532
2023-06-03 22:15:44 | Epoch [14/50] | Batch 275/509 | d_loss: 0.3916 | g_loss: 6.1414
2023-06-03 22:15:45 | Epoch [14/50] | Batch 280/509 | d_loss: 0.6983 | g_loss: 4.1243
2023-06-03 22:15:47 | Epoch [14/50] | Batch 285/509 | d_loss: 0.6810 | g_loss: 4.7547
2023-06-03 22:15:49 | Epoch [14/50] | Batch 290/509 | d_loss: 0.3867 | g_loss: 4.3115
2023-06-03 22:15:50 | Epoch [14/50] | Batch 295/509 | d_loss: 0.3603 | g_loss: 4.9669
2023-06-03 22:15:52 | Epoch [14/50] | Batch 300/509 | d_loss: 0.3999 | g_loss: 4.6182
2023-06-03 22:15:54 | Epoch [14/50] | Batch 305/509 | d_loss: 0.3720 | g_loss: 3.6273
2023-06-03 22:15:55 | Epoch [14/50] | Batch 310/509 | d_loss: 0.3794 | g_loss: 3.4410
2023-06-03 22:15:57 | Epoch [14/50] | Batch 315/509 | d_loss: 0.6313 | g_loss: 2.9593
2023-06-03 22:15:59 | Epoch [14/50] | Batch 320/509 | d_loss: 0.4598 | g_loss: 3.9268
2023-06-03 22:16:00 | Epoch [14/50] | Batch 325/509 | d_loss: 0.4502 | g_loss: 4.4101
2023-06-03 22:16:02 | Epoch [14/50] | Batch 330/509 | d_loss: 0.5873 | g_loss: 5.8099
2023-06-03 22:16:03 | Epoch [14/50] | Batch 335/509 | d_loss: 0.3437 | g_loss: 5.3936
2023-06-03 22:16:05 | Epoch [14/50] | Batch 340/509 | d_loss: 0.4488 | g_loss: 3.8722
2023-06-03 22:16:07 | Epoch [14/50] | Batch 345/509 | d_loss: 0.5019 | g_loss: 5.1761
2023-06-03 22:16:08 | Epoch [14/50] | Batch 350/509 | d_loss: 0.3781 | g_loss: 3.8201
2023-06-03 22:16:10 | Epoch [14/50] | Batch 355/509 | d_loss: 0.4637 | g_loss: 4.0364
2023-06-03 22:16:12 | Epoch [14/50] | Batch 360/509 | d_loss: 0.4338 | g_loss: 4.1279
2023-06-03 22:16:13 | Epoch [14/50] | Batch 365/509 | d_loss: 0.3499 | g_loss: 5.1570
2023-06-03 22:16:15 | Epoch [14/50] | Batch 370/509 | d_loss: 0.3769 | g_loss: 3.9970
2023-06-03 22:16:17 | Epoch [14/50] | Batch 375/509 | d_loss: 0.4132 | g_loss: 4.1842
2023-06-03 22:16:18 | Epoch [14/50] | Batch 380/509 | d_loss: 0.4179 | g_loss: 4.8665
2023-06-03 22:16:20 | Epoch [14/50] | Batch 385/509 | d_loss: 0.4586 | g_loss: 5.9952
2023-06-03 22:16:21 | Epoch [14/50] | Batch 390/509 | d_loss: 0.5293 | g_loss: 4.9003
2023-06-03 22:16:23 | Epoch [14/50] | Batch 395/509 | d_loss: 0.4510 | g_loss: 4.7900
2023-06-03 22:16:25 | Epoch [14/50] | Batch 400/509 | d_loss: 0.3820 | g_loss: 6.4186
2023-06-03 22:16:26 | Epoch [14/50] | Batch 405/509 | d_loss: 0.3967 | g_loss: 4.0490
2023-06-03 22:16:28 | Epoch [14/50] | Batch 410/509 | d_loss: 0.5627 | g_loss: 5.6912
2023-06-03 22:16:30 | Epoch [14/50] | Batch 415/509 | d_loss: 0.3535 | g_loss: 5.1581
2023-06-03 22:16:31 | Epoch [14/50] | Batch 420/509 | d_loss: 0.3563 | g_loss: 4.3344
2023-06-03 22:16:33 | Epoch [14/50] | Batch 425/509 | d_loss: 0.3734 | g_loss: 5.2060
2023-06-03 22:16:35 | Epoch [14/50] | Batch 430/509 | d_loss: 0.3878 | g_loss: 3.7290
2023-06-03 22:16:36 | Epoch [14/50] | Batch 435/509 | d_loss: 0.3471 | g_loss: 7.2432
2023-06-03 22:16:38 | Epoch [14/50] | Batch 440/509 | d_loss: 0.4364 | g_loss: 4.4703
2023-06-03 22:16:39 | Epoch [14/50] | Batch 445/509 | d_loss: 0.3966 | g_loss: 4.1126
2023-06-03 22:16:41 | Epoch [14/50] | Batch 450/509 | d_loss: 0.3848 | g_loss: 3.8441
2023-06-03 22:16:43 | Epoch [14/50] | Batch 455/509 | d_loss: 0.4908 | g_loss: 5.5855
2023-06-03 22:16:44 | Epoch [14/50] | Batch 460/509 | d_loss: 0.4581 | g_loss: 4.5138
2023-06-03 22:16:46 | Epoch [14/50] | Batch 465/509 | d_loss: 0.3564 | g_loss: 4.9767
2023-06-03 22:16:48 | Epoch [14/50] | Batch 470/509 | d_loss: 0.3652 | g_loss: 3.9795
2023-06-03 22:16:49 | Epoch [14/50] | Batch 475/509 | d_loss: 0.3495 | g_loss: 7.8206
2023-06-03 22:16:51 | Epoch [14/50] | Batch 480/509 | d_loss: 0.4165 | g_loss: 3.2984
2023-06-03 22:16:53 | Epoch [14/50] | Batch 485/509 | d_loss: 0.3788 | g_loss: 6.7458
2023-06-03 22:16:54 | Epoch [14/50] | Batch 490/509 | d_loss: 0.4380 | g_loss: 3.3667
2023-06-03 22:16:56 | Epoch [14/50] | Batch 495/509 | d_loss: 2.4069 | g_loss: 9.5882
2023-06-03 22:16:57 | Epoch [14/50] | Batch 500/509 | d_loss: 0.7013 | g_loss: 3.6215
2023-06-03 22:16:59 | Epoch [14/50] | Batch 505/509 | d_loss: 1.0007 | g_loss: 1.9380

2023-06-03 22:17:02 | Epoch [15/50] | Batch 0/509 | d_loss: 0.4904 | g_loss: 4.6255
2023-06-03 22:17:03 | Epoch [15/50] | Batch 5/509 | d_loss: 0.7230 | g_loss: 4.3205
2023-06-03 22:17:05 | Epoch [15/50] | Batch 10/509 | d_loss: 0.9775 | g_loss: 4.4742
2023-06-03 22:17:07 | Epoch [15/50] | Batch 15/509 | d_loss: 0.4729 | g_loss: 2.5992
2023-06-03 22:17:08 | Epoch [15/50] | Batch 20/509 | d_loss: 0.5259 | g_loss: 4.0266
2023-06-03 22:17:10 | Epoch [15/50] | Batch 25/509 | d_loss: 0.6251 | g_loss: 4.3853
2023-06-03 22:17:12 | Epoch [15/50] | Batch 30/509 | d_loss: 0.6042 | g_loss: 2.7449
2023-06-03 22:17:13 | Epoch [15/50] | Batch 35/509 | d_loss: 0.5087 | g_loss: 2.8710
2023-06-03 22:17:15 | Epoch [15/50] | Batch 40/509 | d_loss: 0.5589 | g_loss: 2.5429
2023-06-03 22:17:16 | Epoch [15/50] | Batch 45/509 | d_loss: 0.4802 | g_loss: 2.8788
2023-06-03 22:17:18 | Epoch [15/50] | Batch 50/509 | d_loss: 0.4526 | g_loss: 3.5417
2023-06-03 22:17:20 | Epoch [15/50] | Batch 55/509 | d_loss: 0.5950 | g_loss: 1.8443
2023-06-03 22:17:21 | Epoch [15/50] | Batch 60/509 | d_loss: 0.9288 | g_loss: 3.9484
2023-06-03 22:17:23 | Epoch [15/50] | Batch 65/509 | d_loss: 0.5748 | g_loss: 3.4360
2023-06-03 22:17:25 | Epoch [15/50] | Batch 70/509 | d_loss: 0.5156 | g_loss: 3.6627
2023-06-03 22:17:26 | Epoch [15/50] | Batch 75/509 | d_loss: 0.4506 | g_loss: 3.7473
2023-06-03 22:17:28 | Epoch [15/50] | Batch 80/509 | d_loss: 0.4662 | g_loss: 3.2605
2023-06-03 22:17:30 | Epoch [15/50] | Batch 85/509 | d_loss: 0.3923 | g_loss: 4.2962
2023-06-03 22:17:31 | Epoch [15/50] | Batch 90/509 | d_loss: 0.5463 | g_loss: 4.6877
2023-06-03 22:17:33 | Epoch [15/50] | Batch 95/509 | d_loss: 0.9196 | g_loss: 6.1457
2023-06-03 22:17:34 | Epoch [15/50] | Batch 100/509 | d_loss: 0.5300 | g_loss: 2.2921
2023-06-03 22:17:36 | Epoch [15/50] | Batch 105/509 | d_loss: 0.5933 | g_loss: 2.2137
2023-06-03 22:17:38 | Epoch [15/50] | Batch 110/509 | d_loss: 0.4046 | g_loss: 4.4382
2023-06-03 22:17:39 | Epoch [15/50] | Batch 115/509 | d_loss: 0.4608 | g_loss: 3.1190
2023-06-03 22:17:41 | Epoch [15/50] | Batch 120/509 | d_loss: 0.4385 | g_loss: 3.0312
2023-06-03 22:17:43 | Epoch [15/50] | Batch 125/509 | d_loss: 0.5016 | g_loss: 3.5407
2023-06-03 22:17:44 | Epoch [15/50] | Batch 130/509 | d_loss: 2.0085 | g_loss: 1.0473
2023-06-03 22:17:46 | Epoch [15/50] | Batch 135/509 | d_loss: 0.4761 | g_loss: 3.4407
2023-06-03 22:17:48 | Epoch [15/50] | Batch 140/509 | d_loss: 0.4961 | g_loss: 3.5648
2023-06-03 22:17:49 | Epoch [15/50] | Batch 145/509 | d_loss: 0.4934 | g_loss: 3.9559
2023-06-03 22:17:51 | Epoch [15/50] | Batch 150/509 | d_loss: 0.3925 | g_loss: 4.1523
2023-06-03 22:17:53 | Epoch [15/50] | Batch 155/509 | d_loss: 0.5301 | g_loss: 2.2326
2023-06-03 22:17:54 | Epoch [15/50] | Batch 160/509 | d_loss: 0.5164 | g_loss: 4.8299
2023-06-03 22:17:56 | Epoch [15/50] | Batch 165/509 | d_loss: 0.3862 | g_loss: 3.3208
2023-06-03 22:17:57 | Epoch [15/50] | Batch 170/509 | d_loss: 0.4070 | g_loss: 4.2045
2023-06-03 22:17:59 | Epoch [15/50] | Batch 175/509 | d_loss: 0.8801 | g_loss: 5.8037
2023-06-03 22:18:01 | Epoch [15/50] | Batch 180/509 | d_loss: 0.5610 | g_loss: 2.9951
2023-06-03 22:18:02 | Epoch [15/50] | Batch 185/509 | d_loss: 0.5168 | g_loss: 2.5959
2023-06-03 22:18:04 | Epoch [15/50] | Batch 190/509 | d_loss: 0.5543 | g_loss: 4.4340
2023-06-03 22:18:06 | Epoch [15/50] | Batch 195/509 | d_loss: 0.5136 | g_loss: 4.3365
2023-06-03 22:18:07 | Epoch [15/50] | Batch 200/509 | d_loss: 0.4095 | g_loss: 3.9731
2023-06-03 22:18:09 | Epoch [15/50] | Batch 205/509 | d_loss: 0.3630 | g_loss: 4.7147
2023-06-03 22:18:11 | Epoch [15/50] | Batch 210/509 | d_loss: 0.5039 | g_loss: 2.9061
2023-06-03 22:18:12 | Epoch [15/50] | Batch 215/509 | d_loss: 0.6118 | g_loss: 4.4274
2023-06-03 22:18:14 | Epoch [15/50] | Batch 220/509 | d_loss: 0.3948 | g_loss: 5.3617
2023-06-03 22:18:15 | Epoch [15/50] | Batch 225/509 | d_loss: 0.4190 | g_loss: 3.8428
2023-06-03 22:18:17 | Epoch [15/50] | Batch 230/509 | d_loss: 0.3979 | g_loss: 3.0454
2023-06-03 22:18:19 | Epoch [15/50] | Batch 235/509 | d_loss: 2.0253 | g_loss: 2.5551
2023-06-03 22:18:20 | Epoch [15/50] | Batch 240/509 | d_loss: 0.4042 | g_loss: 6.6300
2023-06-03 22:18:22 | Epoch [15/50] | Batch 245/509 | d_loss: 0.4044 | g_loss: 3.2187
2023-06-03 22:18:24 | Epoch [15/50] | Batch 250/509 | d_loss: 0.5148 | g_loss: 3.8223
2023-06-03 22:18:25 | Epoch [15/50] | Batch 255/509 | d_loss: 0.5285 | g_loss: 3.7841
2023-06-03 22:18:27 | Epoch [15/50] | Batch 260/509 | d_loss: 0.3933 | g_loss: 3.4242
2023-06-03 22:18:29 | Epoch [15/50] | Batch 265/509 | d_loss: 0.4938 | g_loss: 4.5487
2023-06-03 22:18:30 | Epoch [15/50] | Batch 270/509 | d_loss: 0.4282 | g_loss: 4.9558
2023-06-03 22:18:32 | Epoch [15/50] | Batch 275/509 | d_loss: 0.3656 | g_loss: 4.1238
2023-06-03 22:18:33 | Epoch [15/50] | Batch 280/509 | d_loss: 0.3794 | g_loss: 4.1176
2023-06-03 22:18:35 | Epoch [15/50] | Batch 285/509 | d_loss: 0.3682 | g_loss: 3.8036
2023-06-03 22:18:37 | Epoch [15/50] | Batch 290/509 | d_loss: 0.6175 | g_loss: 2.9486
2023-06-03 22:18:38 | Epoch [15/50] | Batch 295/509 | d_loss: 0.4420 | g_loss: 3.3308
2023-06-03 22:18:40 | Epoch [15/50] | Batch 300/509 | d_loss: 0.3765 | g_loss: 4.5913
2023-06-03 22:18:42 | Epoch [15/50] | Batch 305/509 | d_loss: 0.3844 | g_loss: 5.0036
2023-06-03 22:18:43 | Epoch [15/50] | Batch 310/509 | d_loss: 0.4752 | g_loss: 3.5632
2023-06-03 22:18:45 | Epoch [15/50] | Batch 315/509 | d_loss: 0.4501 | g_loss: 3.3885
2023-06-03 22:18:47 | Epoch [15/50] | Batch 320/509 | d_loss: 0.3644 | g_loss: 4.1781
2023-06-03 22:18:48 | Epoch [15/50] | Batch 325/509 | d_loss: 0.3999 | g_loss: 3.8681
2023-06-03 22:18:50 | Epoch [15/50] | Batch 330/509 | d_loss: 0.3506 | g_loss: 5.8100
2023-06-03 22:18:52 | Epoch [15/50] | Batch 335/509 | d_loss: 0.3983 | g_loss: 3.1242
2023-06-03 22:18:53 | Epoch [15/50] | Batch 340/509 | d_loss: 0.3901 | g_loss: 4.2931
2023-06-03 22:18:55 | Epoch [15/50] | Batch 345/509 | d_loss: 0.3662 | g_loss: 4.9155
2023-06-03 22:18:56 | Epoch [15/50] | Batch 350/509 | d_loss: 0.6272 | g_loss: 6.5029
2023-06-03 22:18:58 | Epoch [15/50] | Batch 355/509 | d_loss: 1.5089 | g_loss: 7.0059
2023-06-03 22:19:00 | Epoch [15/50] | Batch 360/509 | d_loss: 0.4412 | g_loss: 3.8276
2023-06-03 22:19:01 | Epoch [15/50] | Batch 365/509 | d_loss: 0.4068 | g_loss: 3.6737
2023-06-03 22:19:03 | Epoch [15/50] | Batch 370/509 | d_loss: 0.3925 | g_loss: 3.7114
2023-06-03 22:19:05 | Epoch [15/50] | Batch 375/509 | d_loss: 0.3623 | g_loss: 4.7464
2023-06-03 22:19:06 | Epoch [15/50] | Batch 380/509 | d_loss: 0.4020 | g_loss: 3.2012
2023-06-03 22:19:08 | Epoch [15/50] | Batch 385/509 | d_loss: 0.3944 | g_loss: 5.1474
2023-06-03 22:19:10 | Epoch [15/50] | Batch 390/509 | d_loss: 0.4642 | g_loss: 3.3454
2023-06-03 22:19:11 | Epoch [15/50] | Batch 395/509 | d_loss: 0.3909 | g_loss: 3.4724
2023-06-03 22:19:13 | Epoch [15/50] | Batch 400/509 | d_loss: 0.4338 | g_loss: 3.3361
2023-06-03 22:19:14 | Epoch [15/50] | Batch 405/509 | d_loss: 0.4790 | g_loss: 3.1295
2023-06-03 22:19:16 | Epoch [15/50] | Batch 410/509 | d_loss: 0.4914 | g_loss: 4.8119
2023-06-03 22:19:18 | Epoch [15/50] | Batch 415/509 | d_loss: 2.6432 | g_loss: 1.9597
2023-06-03 22:19:19 | Epoch [15/50] | Batch 420/509 | d_loss: 0.5257 | g_loss: 4.5162
2023-06-03 22:19:21 | Epoch [15/50] | Batch 425/509 | d_loss: 0.9071 | g_loss: 5.5436
2023-06-03 22:19:23 | Epoch [15/50] | Batch 430/509 | d_loss: 2.5873 | g_loss: 8.4046
2023-06-03 22:19:24 | Epoch [15/50] | Batch 435/509 | d_loss: 0.4936 | g_loss: 2.8127
2023-06-03 22:19:26 | Epoch [15/50] | Batch 440/509 | d_loss: 0.5495 | g_loss: 1.8819
2023-06-03 22:19:28 | Epoch [15/50] | Batch 445/509 | d_loss: 0.5109 | g_loss: 3.8651
2023-06-03 22:19:29 | Epoch [15/50] | Batch 450/509 | d_loss: 0.4182 | g_loss: 3.8807
2023-06-03 22:19:31 | Epoch [15/50] | Batch 455/509 | d_loss: 0.4626 | g_loss: 3.1584
2023-06-03 22:19:32 | Epoch [15/50] | Batch 460/509 | d_loss: 0.5036 | g_loss: 3.4745
2023-06-03 22:19:34 | Epoch [15/50] | Batch 465/509 | d_loss: 0.3858 | g_loss: 3.1327
2023-06-03 22:19:36 | Epoch [15/50] | Batch 470/509 | d_loss: 0.4263 | g_loss: 4.0322
2023-06-03 22:19:37 | Epoch [15/50] | Batch 475/509 | d_loss: 0.4498 | g_loss: 3.4806
2023-06-03 22:19:39 | Epoch [15/50] | Batch 480/509 | d_loss: 0.3849 | g_loss: 3.5002
2023-06-03 22:19:41 | Epoch [15/50] | Batch 485/509 | d_loss: 0.8322 | g_loss: 2.6618
2023-06-03 22:19:42 | Epoch [15/50] | Batch 490/509 | d_loss: 0.4581 | g_loss: 3.8593
2023-06-03 22:19:44 | Epoch [15/50] | Batch 495/509 | d_loss: 0.4288 | g_loss: 3.1896
2023-06-03 22:19:46 | Epoch [15/50] | Batch 500/509 | d_loss: 0.4106 | g_loss: 3.1941
2023-06-03 22:19:47 | Epoch [15/50] | Batch 505/509 | d_loss: 0.4677 | g_loss: 3.5376

2023-06-03 22:19:50 | Epoch [16/50] | Batch 0/509 | d_loss: 0.3816 | g_loss: 4.3664
2023-06-03 22:19:51 | Epoch [16/50] | Batch 5/509 | d_loss: 0.5258 | g_loss: 3.6139
2023-06-03 22:19:53 | Epoch [16/50] | Batch 10/509 | d_loss: 0.4107 | g_loss: 4.4026
2023-06-03 22:19:55 | Epoch [16/50] | Batch 15/509 | d_loss: 0.5090 | g_loss: 2.1713
2023-06-03 22:19:56 | Epoch [16/50] | Batch 20/509 | d_loss: 0.3953 | g_loss: 3.9351
2023-06-03 22:19:58 | Epoch [16/50] | Batch 25/509 | d_loss: 0.3960 | g_loss: 4.2549
2023-06-03 22:20:00 | Epoch [16/50] | Batch 30/509 | d_loss: 0.4950 | g_loss: 4.7597
2023-06-03 22:20:01 | Epoch [16/50] | Batch 35/509 | d_loss: 0.3756 | g_loss: 4.1070
2023-06-03 22:20:03 | Epoch [16/50] | Batch 40/509 | d_loss: 0.3547 | g_loss: 4.6140
2023-06-03 22:20:04 | Epoch [16/50] | Batch 45/509 | d_loss: 0.3830 | g_loss: 4.0617
2023-06-03 22:20:06 | Epoch [16/50] | Batch 50/509 | d_loss: 0.6417 | g_loss: 4.9400
2023-06-03 22:20:08 | Epoch [16/50] | Batch 55/509 | d_loss: 0.4038 | g_loss: 3.3172
2023-06-03 22:20:09 | Epoch [16/50] | Batch 60/509 | d_loss: 0.4076 | g_loss: 3.7855
2023-06-03 22:20:11 | Epoch [16/50] | Batch 65/509 | d_loss: 0.5592 | g_loss: 2.1835
2023-06-03 22:20:13 | Epoch [16/50] | Batch 70/509 | d_loss: 0.3931 | g_loss: 4.1420
2023-06-03 22:20:14 | Epoch [16/50] | Batch 75/509 | d_loss: 0.4260 | g_loss: 2.9485
2023-06-03 22:20:16 | Epoch [16/50] | Batch 80/509 | d_loss: 0.3627 | g_loss: 5.4261
2023-06-03 22:20:18 | Epoch [16/50] | Batch 85/509 | d_loss: 0.3491 | g_loss: 5.4165
2023-06-03 22:20:19 | Epoch [16/50] | Batch 90/509 | d_loss: 0.3914 | g_loss: 2.6506
2023-06-03 22:20:21 | Epoch [16/50] | Batch 95/509 | d_loss: 0.3424 | g_loss: 6.4649
2023-06-03 22:20:22 | Epoch [16/50] | Batch 100/509 | d_loss: 0.4332 | g_loss: 3.7757
2023-06-03 22:20:24 | Epoch [16/50] | Batch 105/509 | d_loss: 0.5250 | g_loss: 5.5643
2023-06-03 22:20:26 | Epoch [16/50] | Batch 110/509 | d_loss: 0.4384 | g_loss: 5.0912
2023-06-03 22:20:27 | Epoch [16/50] | Batch 115/509 | d_loss: 0.4383 | g_loss: 3.9809
2023-06-03 22:20:29 | Epoch [16/50] | Batch 120/509 | d_loss: 0.3815 | g_loss: 3.8099
2023-06-03 22:20:31 | Epoch [16/50] | Batch 125/509 | d_loss: 0.3680 | g_loss: 4.7431
2023-06-03 22:20:32 | Epoch [16/50] | Batch 130/509 | d_loss: 0.4811 | g_loss: 3.2076
2023-06-03 22:20:34 | Epoch [16/50] | Batch 135/509 | d_loss: 0.4163 | g_loss: 2.7209
2023-06-03 22:20:36 | Epoch [16/50] | Batch 140/509 | d_loss: 0.3667 | g_loss: 5.6625
2023-06-03 22:20:37 | Epoch [16/50] | Batch 145/509 | d_loss: 0.3734 | g_loss: 5.2778
2023-06-03 22:20:39 | Epoch [16/50] | Batch 150/509 | d_loss: 0.4096 | g_loss: 4.0385
2023-06-03 22:20:41 | Epoch [16/50] | Batch 155/509 | d_loss: 0.4117 | g_loss: 3.3129
2023-06-03 22:20:42 | Epoch [16/50] | Batch 160/509 | d_loss: 0.4041 | g_loss: 4.0230
2023-06-03 22:20:44 | Epoch [16/50] | Batch 165/509 | d_loss: 0.4502 | g_loss: 4.5994
2023-06-03 22:20:45 | Epoch [16/50] | Batch 170/509 | d_loss: 0.3639 | g_loss: 4.0022
2023-06-03 22:20:47 | Epoch [16/50] | Batch 175/509 | d_loss: 0.3786 | g_loss: 3.8686
2023-06-03 22:20:49 | Epoch [16/50] | Batch 180/509 | d_loss: 0.5538 | g_loss: 5.5635
2023-06-03 22:20:50 | Epoch [16/50] | Batch 185/509 | d_loss: 0.4027 | g_loss: 4.7209
2023-06-03 22:20:52 | Epoch [16/50] | Batch 190/509 | d_loss: 0.4106 | g_loss: 3.1456
2023-06-03 22:20:54 | Epoch [16/50] | Batch 195/509 | d_loss: 0.3418 | g_loss: 4.5415
2023-06-03 22:20:55 | Epoch [16/50] | Batch 200/509 | d_loss: 0.4699 | g_loss: 3.7959
2023-06-03 22:20:57 | Epoch [16/50] | Batch 205/509 | d_loss: 0.4277 | g_loss: 4.8728
2023-06-03 22:20:59 | Epoch [16/50] | Batch 210/509 | d_loss: 0.4283 | g_loss: 3.2021
2023-06-03 22:21:00 | Epoch [16/50] | Batch 215/509 | d_loss: 1.2325 | g_loss: 5.4856
2023-06-03 22:21:02 | Epoch [16/50] | Batch 220/509 | d_loss: 0.6718 | g_loss: 4.7998
2023-06-03 22:21:03 | Epoch [16/50] | Batch 225/509 | d_loss: 0.3880 | g_loss: 4.0773
2023-06-03 22:21:05 | Epoch [16/50] | Batch 230/509 | d_loss: 0.3966 | g_loss: 5.3385
2023-06-03 22:21:07 | Epoch [16/50] | Batch 235/509 | d_loss: 0.3899 | g_loss: 3.1574
2023-06-03 22:21:08 | Epoch [16/50] | Batch 240/509 | d_loss: 0.4173 | g_loss: 3.8797
2023-06-03 22:21:10 | Epoch [16/50] | Batch 245/509 | d_loss: 0.4421 | g_loss: 3.6174
2023-06-03 22:21:12 | Epoch [16/50] | Batch 250/509 | d_loss: 0.7590 | g_loss: 4.6644
2023-06-03 22:21:13 | Epoch [16/50] | Batch 255/509 | d_loss: 0.4530 | g_loss: 3.2352
2023-06-03 22:21:15 | Epoch [16/50] | Batch 260/509 | d_loss: 0.3702 | g_loss: 4.3926
2023-06-03 22:21:17 | Epoch [16/50] | Batch 265/509 | d_loss: 0.3980 | g_loss: 4.6160
2023-06-03 22:21:18 | Epoch [16/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 3.5460
2023-06-03 22:21:20 | Epoch [16/50] | Batch 275/509 | d_loss: 0.3822 | g_loss: 4.3099
2023-06-03 22:21:22 | Epoch [16/50] | Batch 280/509 | d_loss: 0.3922 | g_loss: 4.6943
2023-06-03 22:21:23 | Epoch [16/50] | Batch 285/509 | d_loss: 0.4633 | g_loss: 3.4706
2023-06-03 22:21:25 | Epoch [16/50] | Batch 290/509 | d_loss: 0.8968 | g_loss: 2.1978
2023-06-03 22:21:26 | Epoch [16/50] | Batch 295/509 | d_loss: 0.4131 | g_loss: 6.5154
2023-06-03 22:21:28 | Epoch [16/50] | Batch 300/509 | d_loss: 0.4302 | g_loss: 5.2917
2023-06-03 22:21:30 | Epoch [16/50] | Batch 305/509 | d_loss: 0.4187 | g_loss: 4.2680
2023-06-03 22:21:31 | Epoch [16/50] | Batch 310/509 | d_loss: 0.5423 | g_loss: 4.6683
2023-06-03 22:21:33 | Epoch [16/50] | Batch 315/509 | d_loss: 0.4018 | g_loss: 3.6931
2023-06-03 22:21:35 | Epoch [16/50] | Batch 320/509 | d_loss: 1.8282 | g_loss: 7.4734
2023-06-03 22:21:36 | Epoch [16/50] | Batch 325/509 | d_loss: 0.4373 | g_loss: 2.7231
2023-06-03 22:21:38 | Epoch [16/50] | Batch 330/509 | d_loss: 0.7216 | g_loss: 6.5362
2023-06-03 22:21:40 | Epoch [16/50] | Batch 335/509 | d_loss: 0.3922 | g_loss: 4.0883
2023-06-03 22:21:41 | Epoch [16/50] | Batch 340/509 | d_loss: 0.4044 | g_loss: 4.6200
2023-06-03 22:21:43 | Epoch [16/50] | Batch 345/509 | d_loss: 0.5881 | g_loss: 4.5414
2023-06-03 22:21:44 | Epoch [16/50] | Batch 350/509 | d_loss: 0.5508 | g_loss: 3.6784
2023-06-03 22:21:46 | Epoch [16/50] | Batch 355/509 | d_loss: 0.3817 | g_loss: 4.3160
2023-06-03 22:21:48 | Epoch [16/50] | Batch 360/509 | d_loss: 0.3829 | g_loss: 3.5864
2023-06-03 22:21:49 | Epoch [16/50] | Batch 365/509 | d_loss: 0.3790 | g_loss: 4.8963
2023-06-03 22:21:51 | Epoch [16/50] | Batch 370/509 | d_loss: 0.3931 | g_loss: 3.6890
2023-06-03 22:21:53 | Epoch [16/50] | Batch 375/509 | d_loss: 0.3620 | g_loss: 3.8611
2023-06-03 22:21:54 | Epoch [16/50] | Batch 380/509 | d_loss: 0.4147 | g_loss: 4.2774
2023-06-03 22:21:56 | Epoch [16/50] | Batch 385/509 | d_loss: 0.3900 | g_loss: 3.3133
2023-06-03 22:21:58 | Epoch [16/50] | Batch 390/509 | d_loss: 0.4077 | g_loss: 2.6225
2023-06-03 22:21:59 | Epoch [16/50] | Batch 395/509 | d_loss: 0.3675 | g_loss: 4.3123
2023-06-03 22:22:01 | Epoch [16/50] | Batch 400/509 | d_loss: 0.5916 | g_loss: 2.4457
2023-06-03 22:22:03 | Epoch [16/50] | Batch 405/509 | d_loss: 0.4119 | g_loss: 4.1098
2023-06-03 22:22:04 | Epoch [16/50] | Batch 410/509 | d_loss: 0.3947 | g_loss: 4.9075
2023-06-03 22:22:06 | Epoch [16/50] | Batch 415/509 | d_loss: 0.3769 | g_loss: 4.3723
2023-06-03 22:22:07 | Epoch [16/50] | Batch 420/509 | d_loss: 0.4422 | g_loss: 3.1603
2023-06-03 22:22:09 | Epoch [16/50] | Batch 425/509 | d_loss: 0.4026 | g_loss: 4.3791
2023-06-03 22:22:11 | Epoch [16/50] | Batch 430/509 | d_loss: 0.3672 | g_loss: 4.4261
2023-06-03 22:22:12 | Epoch [16/50] | Batch 435/509 | d_loss: 0.3715 | g_loss: 4.4503
2023-06-03 22:22:14 | Epoch [16/50] | Batch 440/509 | d_loss: 0.6923 | g_loss: 1.0453
2023-06-03 22:22:16 | Epoch [16/50] | Batch 445/509 | d_loss: 0.8174 | g_loss: 7.4424
2023-06-03 22:22:17 | Epoch [16/50] | Batch 450/509 | d_loss: 0.8381 | g_loss: 2.4558
2023-06-03 22:22:19 | Epoch [16/50] | Batch 455/509 | d_loss: 0.5344 | g_loss: 2.9191
2023-06-03 22:22:21 | Epoch [16/50] | Batch 460/509 | d_loss: 0.4949 | g_loss: 4.9827
2023-06-03 22:22:22 | Epoch [16/50] | Batch 465/509 | d_loss: 0.6005 | g_loss: 3.4554
2023-06-03 22:22:24 | Epoch [16/50] | Batch 470/509 | d_loss: 0.4225 | g_loss: 3.7433
2023-06-03 22:22:25 | Epoch [16/50] | Batch 475/509 | d_loss: 0.6711 | g_loss: 2.8659
2023-06-03 22:22:27 | Epoch [16/50] | Batch 480/509 | d_loss: 1.6974 | g_loss: 1.3253
2023-06-03 22:22:29 | Epoch [16/50] | Batch 485/509 | d_loss: 0.6185 | g_loss: 4.2517
2023-06-03 22:22:30 | Epoch [16/50] | Batch 490/509 | d_loss: 0.6002 | g_loss: 2.2214
2023-06-03 22:22:32 | Epoch [16/50] | Batch 495/509 | d_loss: 0.5658 | g_loss: 3.2862
2023-06-03 22:22:34 | Epoch [16/50] | Batch 500/509 | d_loss: 0.4232 | g_loss: 3.0948
2023-06-03 22:22:35 | Epoch [16/50] | Batch 505/509 | d_loss: 0.4100 | g_loss: 3.7025

2023-06-03 22:22:38 | Epoch [17/50] | Batch 0/509 | d_loss: 0.3925 | g_loss: 3.2765
2023-06-03 22:22:39 | Epoch [17/50] | Batch 5/509 | d_loss: 0.3609 | g_loss: 4.3182
2023-06-03 22:22:41 | Epoch [17/50] | Batch 10/509 | d_loss: 0.4824 | g_loss: 4.2289
2023-06-03 22:22:43 | Epoch [17/50] | Batch 15/509 | d_loss: 0.5241 | g_loss: 4.8285
2023-06-03 22:22:44 | Epoch [17/50] | Batch 20/509 | d_loss: 0.3789 | g_loss: 6.2938
2023-06-03 22:22:46 | Epoch [17/50] | Batch 25/509 | d_loss: 0.4177 | g_loss: 4.6809
2023-06-03 22:22:48 | Epoch [17/50] | Batch 30/509 | d_loss: 0.3981 | g_loss: 3.6626
2023-06-03 22:22:49 | Epoch [17/50] | Batch 35/509 | d_loss: 0.4120 | g_loss: 4.4418
2023-06-03 22:22:51 | Epoch [17/50] | Batch 40/509 | d_loss: 0.5028 | g_loss: 2.2916
2023-06-03 22:22:53 | Epoch [17/50] | Batch 45/509 | d_loss: 0.4729 | g_loss: 3.6668
2023-06-03 22:22:54 | Epoch [17/50] | Batch 50/509 | d_loss: 0.3766 | g_loss: 5.4735
2023-06-03 22:22:56 | Epoch [17/50] | Batch 55/509 | d_loss: 1.2439 | g_loss: 7.3254
2023-06-03 22:22:58 | Epoch [17/50] | Batch 60/509 | d_loss: 0.4682 | g_loss: 3.1340
2023-06-03 22:22:59 | Epoch [17/50] | Batch 65/509 | d_loss: 0.4396 | g_loss: 2.9179
2023-06-03 22:23:01 | Epoch [17/50] | Batch 70/509 | d_loss: 0.4195 | g_loss: 3.1978
2023-06-03 22:23:02 | Epoch [17/50] | Batch 75/509 | d_loss: 0.6118 | g_loss: 6.0281
2023-06-03 22:23:04 | Epoch [17/50] | Batch 80/509 | d_loss: 0.4722 | g_loss: 3.8905
2023-06-03 22:23:06 | Epoch [17/50] | Batch 85/509 | d_loss: 0.4304 | g_loss: 3.5360
2023-06-03 22:23:07 | Epoch [17/50] | Batch 90/509 | d_loss: 0.4103 | g_loss: 3.9817
2023-06-03 22:23:09 | Epoch [17/50] | Batch 95/509 | d_loss: 0.4093 | g_loss: 3.9135
2023-06-03 22:23:11 | Epoch [17/50] | Batch 100/509 | d_loss: 0.3926 | g_loss: 3.6461
2023-06-03 22:23:12 | Epoch [17/50] | Batch 105/509 | d_loss: 0.3661 | g_loss: 3.7785
2023-06-03 22:23:14 | Epoch [17/50] | Batch 110/509 | d_loss: 0.4153 | g_loss: 3.8174
2023-06-03 22:23:16 | Epoch [17/50] | Batch 115/509 | d_loss: 0.4229 | g_loss: 4.3237
2023-06-03 22:23:17 | Epoch [17/50] | Batch 120/509 | d_loss: 0.4168 | g_loss: 2.9404
2023-06-03 22:23:19 | Epoch [17/50] | Batch 125/509 | d_loss: 0.3736 | g_loss: 4.9595
2023-06-03 22:23:20 | Epoch [17/50] | Batch 130/509 | d_loss: 0.3733 | g_loss: 3.9899
2023-06-03 22:23:22 | Epoch [17/50] | Batch 135/509 | d_loss: 0.3659 | g_loss: 3.7709
2023-06-03 22:23:24 | Epoch [17/50] | Batch 140/509 | d_loss: 0.3864 | g_loss: 3.7129
2023-06-03 22:23:25 | Epoch [17/50] | Batch 145/509 | d_loss: 0.5014 | g_loss: 3.9381
2023-06-03 22:23:27 | Epoch [17/50] | Batch 150/509 | d_loss: 0.3834 | g_loss: 3.4546
2023-06-03 22:23:29 | Epoch [17/50] | Batch 155/509 | d_loss: 0.4991 | g_loss: 4.1080
2023-06-03 22:23:30 | Epoch [17/50] | Batch 160/509 | d_loss: 0.4688 | g_loss: 5.6107
2023-06-03 22:23:32 | Epoch [17/50] | Batch 165/509 | d_loss: 0.3916 | g_loss: 4.4510
2023-06-03 22:23:34 | Epoch [17/50] | Batch 170/509 | d_loss: 0.3608 | g_loss: 4.6485
2023-06-03 22:23:35 | Epoch [17/50] | Batch 175/509 | d_loss: 0.3713 | g_loss: 4.9382
2023-06-03 22:23:37 | Epoch [17/50] | Batch 180/509 | d_loss: 0.4510 | g_loss: 5.2490
2023-06-03 22:23:38 | Epoch [17/50] | Batch 185/509 | d_loss: 0.6944 | g_loss: 2.1150
2023-06-03 22:23:40 | Epoch [17/50] | Batch 190/509 | d_loss: 0.3725 | g_loss: 5.1771
2023-06-03 22:23:42 | Epoch [17/50] | Batch 195/509 | d_loss: 0.3923 | g_loss: 4.2483
2023-06-03 22:23:43 | Epoch [17/50] | Batch 200/509 | d_loss: 0.5202 | g_loss: 4.5984
2023-06-03 22:23:45 | Epoch [17/50] | Batch 205/509 | d_loss: 0.5067 | g_loss: 4.8640
2023-06-03 22:23:47 | Epoch [17/50] | Batch 210/509 | d_loss: 0.4790 | g_loss: 3.9684
2023-06-03 22:23:48 | Epoch [17/50] | Batch 215/509 | d_loss: 0.3726 | g_loss: 3.8224
2023-06-03 22:23:50 | Epoch [17/50] | Batch 220/509 | d_loss: 0.4272 | g_loss: 3.9317
2023-06-03 22:23:52 | Epoch [17/50] | Batch 225/509 | d_loss: 0.3800 | g_loss: 3.7444
2023-06-03 22:23:53 | Epoch [17/50] | Batch 230/509 | d_loss: 0.4057 | g_loss: 4.4630
2023-06-03 22:23:55 | Epoch [17/50] | Batch 235/509 | d_loss: 0.3977 | g_loss: 3.8215
2023-06-03 22:23:56 | Epoch [17/50] | Batch 240/509 | d_loss: 0.3683 | g_loss: 4.0161
2023-06-03 22:23:58 | Epoch [17/50] | Batch 245/509 | d_loss: 0.3559 | g_loss: 4.6177
2023-06-03 22:24:00 | Epoch [17/50] | Batch 250/509 | d_loss: 0.3630 | g_loss: 7.0876
2023-06-03 22:24:01 | Epoch [17/50] | Batch 255/509 | d_loss: 0.3682 | g_loss: 4.8488
2023-06-03 22:24:03 | Epoch [17/50] | Batch 260/509 | d_loss: 0.4036 | g_loss: 4.6896
2023-06-03 22:24:05 | Epoch [17/50] | Batch 265/509 | d_loss: 0.3632 | g_loss: 5.7028
2023-06-03 22:24:06 | Epoch [17/50] | Batch 270/509 | d_loss: 0.5637 | g_loss: 3.7852
2023-06-03 22:24:08 | Epoch [17/50] | Batch 275/509 | d_loss: 0.3560 | g_loss: 5.2259
2023-06-03 22:24:10 | Epoch [17/50] | Batch 280/509 | d_loss: 0.5276 | g_loss: 4.0633
2023-06-03 22:24:11 | Epoch [17/50] | Batch 285/509 | d_loss: 0.4531 | g_loss: 4.7594
2023-06-03 22:24:13 | Epoch [17/50] | Batch 290/509 | d_loss: 0.3928 | g_loss: 3.3044
2023-06-03 22:24:14 | Epoch [17/50] | Batch 295/509 | d_loss: 0.3636 | g_loss: 3.9638
2023-06-03 22:24:16 | Epoch [17/50] | Batch 300/509 | d_loss: 0.3630 | g_loss: 4.7848
2023-06-03 22:24:18 | Epoch [17/50] | Batch 305/509 | d_loss: 0.4474 | g_loss: 4.1800
2023-06-03 22:24:19 | Epoch [17/50] | Batch 310/509 | d_loss: 0.4000 | g_loss: 5.4548
2023-06-03 22:24:21 | Epoch [17/50] | Batch 315/509 | d_loss: 0.3727 | g_loss: 4.1441
2023-06-03 22:24:23 | Epoch [17/50] | Batch 320/509 | d_loss: 0.3591 | g_loss: 4.8269
2023-06-03 22:24:24 | Epoch [17/50] | Batch 325/509 | d_loss: 0.5044 | g_loss: 3.5305
2023-06-03 22:24:26 | Epoch [17/50] | Batch 330/509 | d_loss: 0.4486 | g_loss: 4.3742
2023-06-03 22:24:28 | Epoch [17/50] | Batch 335/509 | d_loss: 0.3592 | g_loss: 4.5390
2023-06-03 22:24:29 | Epoch [17/50] | Batch 340/509 | d_loss: 0.4090 | g_loss: 4.2430
2023-06-03 22:24:31 | Epoch [17/50] | Batch 345/509 | d_loss: 0.4179 | g_loss: 4.7305
2023-06-03 22:24:32 | Epoch [17/50] | Batch 350/509 | d_loss: 0.4637 | g_loss: 4.8788
2023-06-03 22:24:34 | Epoch [17/50] | Batch 355/509 | d_loss: 0.5062 | g_loss: 4.7698
2023-06-03 22:24:36 | Epoch [17/50] | Batch 360/509 | d_loss: 0.6243 | g_loss: 5.7654
2023-06-03 22:24:37 | Epoch [17/50] | Batch 365/509 | d_loss: 0.3657 | g_loss: 5.0369
2023-06-03 22:24:39 | Epoch [17/50] | Batch 370/509 | d_loss: 0.4742 | g_loss: 3.2686
2023-06-03 22:24:41 | Epoch [17/50] | Batch 375/509 | d_loss: 0.6530 | g_loss: 6.1280
2023-06-03 22:24:42 | Epoch [17/50] | Batch 380/509 | d_loss: 0.3860 | g_loss: 3.8948
2023-06-03 22:24:44 | Epoch [17/50] | Batch 385/509 | d_loss: 0.4696 | g_loss: 3.8321
2023-06-03 22:24:46 | Epoch [17/50] | Batch 390/509 | d_loss: 0.4055 | g_loss: 4.8993
2023-06-03 22:24:47 | Epoch [17/50] | Batch 395/509 | d_loss: 0.3674 | g_loss: 5.1104
2023-06-03 22:24:49 | Epoch [17/50] | Batch 400/509 | d_loss: 0.3636 | g_loss: 3.9482
2023-06-03 22:24:50 | Epoch [17/50] | Batch 405/509 | d_loss: 0.3546 | g_loss: 5.4211
2023-06-03 22:24:52 | Epoch [17/50] | Batch 410/509 | d_loss: 0.4155 | g_loss: 4.5370
2023-06-03 22:24:54 | Epoch [17/50] | Batch 415/509 | d_loss: 0.4536 | g_loss: 4.3570
2023-06-03 22:24:55 | Epoch [17/50] | Batch 420/509 | d_loss: 0.3797 | g_loss: 3.6436
2023-06-03 22:24:57 | Epoch [17/50] | Batch 425/509 | d_loss: 0.4355 | g_loss: 4.6100
2023-06-03 22:24:59 | Epoch [17/50] | Batch 430/509 | d_loss: 0.4227 | g_loss: 2.4394
2023-06-03 22:25:00 | Epoch [17/50] | Batch 435/509 | d_loss: 0.3618 | g_loss: 5.3422
2023-06-03 22:25:02 | Epoch [17/50] | Batch 440/509 | d_loss: 0.3885 | g_loss: 5.0084
2023-06-03 22:25:04 | Epoch [17/50] | Batch 445/509 | d_loss: 0.3617 | g_loss: 4.8615
2023-06-03 22:25:05 | Epoch [17/50] | Batch 450/509 | d_loss: 0.3455 | g_loss: 5.9782
2023-06-03 22:25:07 | Epoch [17/50] | Batch 455/509 | d_loss: 0.4263 | g_loss: 3.4492
2023-06-03 22:25:08 | Epoch [17/50] | Batch 460/509 | d_loss: 0.3514 | g_loss: 5.9778
2023-06-03 22:25:10 | Epoch [17/50] | Batch 465/509 | d_loss: 0.3557 | g_loss: 4.6062
2023-06-03 22:25:12 | Epoch [17/50] | Batch 470/509 | d_loss: 0.3600 | g_loss: 4.5422
2023-06-03 22:25:13 | Epoch [17/50] | Batch 475/509 | d_loss: 0.3675 | g_loss: 4.1811
2023-06-03 22:25:15 | Epoch [17/50] | Batch 480/509 | d_loss: 0.8163 | g_loss: 6.6132
2023-06-03 22:25:17 | Epoch [17/50] | Batch 485/509 | d_loss: 1.4044 | g_loss: 7.7519
2023-06-03 22:25:18 | Epoch [17/50] | Batch 490/509 | d_loss: 0.5365 | g_loss: 3.3880
2023-06-03 22:25:20 | Epoch [17/50] | Batch 495/509 | d_loss: 0.5738 | g_loss: 2.5993
2023-06-03 22:25:22 | Epoch [17/50] | Batch 500/509 | d_loss: 0.4208 | g_loss: 3.8581
2023-06-03 22:25:23 | Epoch [17/50] | Batch 505/509 | d_loss: 0.3948 | g_loss: 5.1480

2023-06-03 22:25:26 | Epoch [18/50] | Batch 0/509 | d_loss: 0.4290 | g_loss: 3.7064
2023-06-03 22:25:27 | Epoch [18/50] | Batch 5/509 | d_loss: 0.4578 | g_loss: 3.7887
2023-06-03 22:25:29 | Epoch [18/50] | Batch 10/509 | d_loss: 0.7280 | g_loss: 3.1085
2023-06-03 22:25:31 | Epoch [18/50] | Batch 15/509 | d_loss: 0.4467 | g_loss: 4.8230
2023-06-03 22:25:32 | Epoch [18/50] | Batch 20/509 | d_loss: 0.3816 | g_loss: 4.3672
2023-06-03 22:25:34 | Epoch [18/50] | Batch 25/509 | d_loss: 0.4187 | g_loss: 4.3320
2023-06-03 22:25:35 | Epoch [18/50] | Batch 30/509 | d_loss: 0.5301 | g_loss: 4.0987
2023-06-03 22:25:37 | Epoch [18/50] | Batch 35/509 | d_loss: 0.3683 | g_loss: 3.5902
2023-06-03 22:25:39 | Epoch [18/50] | Batch 40/509 | d_loss: 0.4324 | g_loss: 5.5643
2023-06-03 22:25:40 | Epoch [18/50] | Batch 45/509 | d_loss: 0.5726 | g_loss: 4.7050
2023-06-03 22:25:42 | Epoch [18/50] | Batch 50/509 | d_loss: 0.3595 | g_loss: 4.4432
2023-06-03 22:25:44 | Epoch [18/50] | Batch 55/509 | d_loss: 0.6392 | g_loss: 4.2973
2023-06-03 22:25:45 | Epoch [18/50] | Batch 60/509 | d_loss: 0.5023 | g_loss: 3.4043
2023-06-03 22:25:47 | Epoch [18/50] | Batch 65/509 | d_loss: 0.5676 | g_loss: 4.1645
2023-06-03 22:25:49 | Epoch [18/50] | Batch 70/509 | d_loss: 0.4669 | g_loss: 3.9385
2023-06-03 22:25:50 | Epoch [18/50] | Batch 75/509 | d_loss: 0.3884 | g_loss: 4.3586
2023-06-03 22:25:52 | Epoch [18/50] | Batch 80/509 | d_loss: 0.3996 | g_loss: 4.5749
2023-06-03 22:25:53 | Epoch [18/50] | Batch 85/509 | d_loss: 0.4127 | g_loss: 4.6822
2023-06-03 22:25:55 | Epoch [18/50] | Batch 90/509 | d_loss: 0.4018 | g_loss: 3.9551
2023-06-03 22:25:57 | Epoch [18/50] | Batch 95/509 | d_loss: 0.7476 | g_loss: 7.7686
2023-06-03 22:25:58 | Epoch [18/50] | Batch 100/509 | d_loss: 0.5696 | g_loss: 5.0806
2023-06-03 22:26:00 | Epoch [18/50] | Batch 105/509 | d_loss: 0.5566 | g_loss: 5.0038
2023-06-03 22:26:02 | Epoch [18/50] | Batch 110/509 | d_loss: 0.4206 | g_loss: 4.2932
2023-06-03 22:26:03 | Epoch [18/50] | Batch 115/509 | d_loss: 1.2909 | g_loss: 3.9354
2023-06-03 22:26:05 | Epoch [18/50] | Batch 120/509 | d_loss: 0.4191 | g_loss: 3.6945
2023-06-03 22:26:07 | Epoch [18/50] | Batch 125/509 | d_loss: 0.4120 | g_loss: 4.8592
2023-06-03 22:26:08 | Epoch [18/50] | Batch 130/509 | d_loss: 0.3674 | g_loss: 5.9356
2023-06-03 22:26:10 | Epoch [18/50] | Batch 135/509 | d_loss: 0.3899 | g_loss: 3.7719
2023-06-03 22:26:11 | Epoch [18/50] | Batch 140/509 | d_loss: 0.4164 | g_loss: 3.3567
2023-06-03 22:26:13 | Epoch [18/50] | Batch 145/509 | d_loss: 0.5372 | g_loss: 3.4479
2023-06-03 22:26:15 | Epoch [18/50] | Batch 150/509 | d_loss: 0.4736 | g_loss: 4.3545
2023-06-03 22:26:16 | Epoch [18/50] | Batch 155/509 | d_loss: 0.3747 | g_loss: 4.1411
2023-06-03 22:26:18 | Epoch [18/50] | Batch 160/509 | d_loss: 0.3949 | g_loss: 3.4369
2023-06-03 22:26:20 | Epoch [18/50] | Batch 165/509 | d_loss: 0.5790 | g_loss: 5.2099
2023-06-03 22:26:21 | Epoch [18/50] | Batch 170/509 | d_loss: 0.3575 | g_loss: 5.0838
2023-06-03 22:26:23 | Epoch [18/50] | Batch 175/509 | d_loss: 0.3703 | g_loss: 4.3784
2023-06-03 22:26:25 | Epoch [18/50] | Batch 180/509 | d_loss: 0.4924 | g_loss: 2.2702
2023-06-03 22:26:26 | Epoch [18/50] | Batch 185/509 | d_loss: 1.1538 | g_loss: 4.0118
2023-06-03 22:26:28 | Epoch [18/50] | Batch 190/509 | d_loss: 0.5358 | g_loss: 3.9311
2023-06-03 22:26:29 | Epoch [18/50] | Batch 195/509 | d_loss: 0.4579 | g_loss: 3.0201
2023-06-03 22:26:31 | Epoch [18/50] | Batch 200/509 | d_loss: 0.4055 | g_loss: 4.1905
2023-06-03 22:26:33 | Epoch [18/50] | Batch 205/509 | d_loss: 0.4278 | g_loss: 3.9060
2023-06-03 22:26:34 | Epoch [18/50] | Batch 210/509 | d_loss: 0.3847 | g_loss: 4.5124
2023-06-03 22:26:36 | Epoch [18/50] | Batch 215/509 | d_loss: 0.3921 | g_loss: 4.2118
2023-06-03 22:26:38 | Epoch [18/50] | Batch 220/509 | d_loss: 0.4500 | g_loss: 4.5688
2023-06-03 22:26:39 | Epoch [18/50] | Batch 225/509 | d_loss: 0.3844 | g_loss: 5.0040
2023-06-03 22:26:41 | Epoch [18/50] | Batch 230/509 | d_loss: 0.3762 | g_loss: 5.4531
2023-06-03 22:26:43 | Epoch [18/50] | Batch 235/509 | d_loss: 0.3685 | g_loss: 4.9798
2023-06-03 22:26:44 | Epoch [18/50] | Batch 240/509 | d_loss: 0.4023 | g_loss: 5.7948
2023-06-03 22:26:46 | Epoch [18/50] | Batch 245/509 | d_loss: 0.4411 | g_loss: 3.4617
2023-06-03 22:26:48 | Epoch [18/50] | Batch 250/509 | d_loss: 0.3992 | g_loss: 4.4980
2023-06-03 22:26:49 | Epoch [18/50] | Batch 255/509 | d_loss: 0.4126 | g_loss: 4.4867
2023-06-03 22:26:51 | Epoch [18/50] | Batch 260/509 | d_loss: 0.4005 | g_loss: 4.8548
2023-06-03 22:26:52 | Epoch [18/50] | Batch 265/509 | d_loss: 0.3734 | g_loss: 5.5782
2023-06-03 22:26:54 | Epoch [18/50] | Batch 270/509 | d_loss: 0.3660 | g_loss: 4.0586
2023-06-03 22:26:56 | Epoch [18/50] | Batch 275/509 | d_loss: 0.5150 | g_loss: 2.0812
2023-06-03 22:26:57 | Epoch [18/50] | Batch 280/509 | d_loss: 0.3839 | g_loss: 4.1793
2023-06-03 22:26:59 | Epoch [18/50] | Batch 285/509 | d_loss: 0.3634 | g_loss: 4.3814
2023-06-03 22:27:01 | Epoch [18/50] | Batch 290/509 | d_loss: 0.5630 | g_loss: 4.1727
2023-06-03 22:27:02 | Epoch [18/50] | Batch 295/509 | d_loss: 0.3615 | g_loss: 4.8931
2023-06-03 22:27:04 | Epoch [18/50] | Batch 300/509 | d_loss: 0.5754 | g_loss: 2.8414
2023-06-03 22:27:06 | Epoch [18/50] | Batch 305/509 | d_loss: 0.3979 | g_loss: 3.6708
2023-06-03 22:27:07 | Epoch [18/50] | Batch 310/509 | d_loss: 0.5485 | g_loss: 5.0404
2023-06-03 22:27:09 | Epoch [18/50] | Batch 315/509 | d_loss: 0.3766 | g_loss: 3.8781
2023-06-03 22:27:10 | Epoch [18/50] | Batch 320/509 | d_loss: 0.3722 | g_loss: 4.2414
2023-06-03 22:27:12 | Epoch [18/50] | Batch 325/509 | d_loss: 0.3885 | g_loss: 4.4672
2023-06-03 22:27:14 | Epoch [18/50] | Batch 330/509 | d_loss: 0.3621 | g_loss: 3.0439
2023-06-03 22:27:15 | Epoch [18/50] | Batch 335/509 | d_loss: 0.4830 | g_loss: 4.6118
2023-06-03 22:27:17 | Epoch [18/50] | Batch 340/509 | d_loss: 0.3489 | g_loss: 5.1930
2023-06-03 22:27:19 | Epoch [18/50] | Batch 345/509 | d_loss: 0.8165 | g_loss: 5.6153
2023-06-03 22:27:20 | Epoch [18/50] | Batch 350/509 | d_loss: 0.4034 | g_loss: 4.0216
2023-06-03 22:27:22 | Epoch [18/50] | Batch 355/509 | d_loss: 0.3722 | g_loss: 4.0428
2023-06-03 22:27:24 | Epoch [18/50] | Batch 360/509 | d_loss: 0.3590 | g_loss: 4.9617
2023-06-03 22:27:25 | Epoch [18/50] | Batch 365/509 | d_loss: 0.3871 | g_loss: 4.5250
2023-06-03 22:27:27 | Epoch [18/50] | Batch 370/509 | d_loss: 0.3927 | g_loss: 4.1555
2023-06-03 22:27:28 | Epoch [18/50] | Batch 375/509 | d_loss: 0.4642 | g_loss: 2.2230
2023-06-03 22:27:30 | Epoch [18/50] | Batch 380/509 | d_loss: 0.3894 | g_loss: 4.3763
2023-06-03 22:27:32 | Epoch [18/50] | Batch 385/509 | d_loss: 0.4182 | g_loss: 5.2820
2023-06-03 22:27:33 | Epoch [18/50] | Batch 390/509 | d_loss: 0.3768 | g_loss: 5.3362
2023-06-03 22:27:35 | Epoch [18/50] | Batch 395/509 | d_loss: 0.4262 | g_loss: 4.0843
2023-06-03 22:27:37 | Epoch [18/50] | Batch 400/509 | d_loss: 0.4132 | g_loss: 4.6451
2023-06-03 22:27:38 | Epoch [18/50] | Batch 405/509 | d_loss: 0.3688 | g_loss: 5.5155
2023-06-03 22:27:40 | Epoch [18/50] | Batch 410/509 | d_loss: 0.3941 | g_loss: 4.3926
2023-06-03 22:27:42 | Epoch [18/50] | Batch 415/509 | d_loss: 0.4102 | g_loss: 3.6683
2023-06-03 22:27:43 | Epoch [18/50] | Batch 420/509 | d_loss: 0.4528 | g_loss: 4.2516
2023-06-03 22:27:45 | Epoch [18/50] | Batch 425/509 | d_loss: 0.3638 | g_loss: 5.4616
2023-06-03 22:27:46 | Epoch [18/50] | Batch 430/509 | d_loss: 0.5878 | g_loss: 5.7213
2023-06-03 22:27:48 | Epoch [18/50] | Batch 435/509 | d_loss: 0.3628 | g_loss: 5.5883
2023-06-03 22:27:50 | Epoch [18/50] | Batch 440/509 | d_loss: 0.4165 | g_loss: 3.9190
2023-06-03 22:27:51 | Epoch [18/50] | Batch 445/509 | d_loss: 0.3837 | g_loss: 4.4089
2023-06-03 22:27:53 | Epoch [18/50] | Batch 450/509 | d_loss: 0.3573 | g_loss: 4.7442
2023-06-03 22:27:55 | Epoch [18/50] | Batch 455/509 | d_loss: 0.3727 | g_loss: 4.4852
2023-06-03 22:27:56 | Epoch [18/50] | Batch 460/509 | d_loss: 0.3454 | g_loss: 5.4960
2023-06-03 22:27:58 | Epoch [18/50] | Batch 465/509 | d_loss: 0.3786 | g_loss: 4.9900
2023-06-03 22:28:00 | Epoch [18/50] | Batch 470/509 | d_loss: 0.3596 | g_loss: 4.4110
2023-06-03 22:28:01 | Epoch [18/50] | Batch 475/509 | d_loss: 0.4016 | g_loss: 4.2382
2023-06-03 22:28:03 | Epoch [18/50] | Batch 480/509 | d_loss: 0.3801 | g_loss: 3.1341
2023-06-03 22:28:05 | Epoch [18/50] | Batch 485/509 | d_loss: 0.3992 | g_loss: 3.4607
2023-06-03 22:28:06 | Epoch [18/50] | Batch 490/509 | d_loss: 0.5194 | g_loss: 5.7291
2023-06-03 22:28:08 | Epoch [18/50] | Batch 495/509 | d_loss: 1.4321 | g_loss: 5.9151
2023-06-03 22:28:09 | Epoch [18/50] | Batch 500/509 | d_loss: 0.4948 | g_loss: 4.8307
2023-06-03 22:28:11 | Epoch [18/50] | Batch 505/509 | d_loss: 0.5355 | g_loss: 3.4948

2023-06-03 22:28:13 | Epoch [19/50] | Batch 0/509 | d_loss: 0.5990 | g_loss: 3.5142
2023-06-03 22:28:15 | Epoch [19/50] | Batch 5/509 | d_loss: 0.4638 | g_loss: 3.9056
2023-06-03 22:28:17 | Epoch [19/50] | Batch 10/509 | d_loss: 0.4045 | g_loss: 3.7444
2023-06-03 22:28:18 | Epoch [19/50] | Batch 15/509 | d_loss: 0.4398 | g_loss: 3.2347
2023-06-03 22:28:20 | Epoch [19/50] | Batch 20/509 | d_loss: 0.4987 | g_loss: 4.0636
2023-06-03 22:28:22 | Epoch [19/50] | Batch 25/509 | d_loss: 0.3935 | g_loss: 3.6147
2023-06-03 22:28:23 | Epoch [19/50] | Batch 30/509 | d_loss: 0.4171 | g_loss: 3.1964
2023-06-03 22:28:25 | Epoch [19/50] | Batch 35/509 | d_loss: 0.4873 | g_loss: 4.5545
2023-06-03 22:28:27 | Epoch [19/50] | Batch 40/509 | d_loss: 0.6252 | g_loss: 3.9960
2023-06-03 22:28:28 | Epoch [19/50] | Batch 45/509 | d_loss: 0.6521 | g_loss: 4.9824
2023-06-03 22:28:30 | Epoch [19/50] | Batch 50/509 | d_loss: 0.3664 | g_loss: 4.6689
2023-06-03 22:28:31 | Epoch [19/50] | Batch 55/509 | d_loss: 0.3772 | g_loss: 4.8205
2023-06-03 22:28:33 | Epoch [19/50] | Batch 60/509 | d_loss: 0.8132 | g_loss: 4.7985
2023-06-03 22:28:35 | Epoch [19/50] | Batch 65/509 | d_loss: 0.7834 | g_loss: 1.4231
2023-06-03 22:28:36 | Epoch [19/50] | Batch 70/509 | d_loss: 0.5109 | g_loss: 4.9568
2023-06-03 22:28:38 | Epoch [19/50] | Batch 75/509 | d_loss: 0.4119 | g_loss: 3.6526
2023-06-03 22:28:40 | Epoch [19/50] | Batch 80/509 | d_loss: 0.4108 | g_loss: 3.8826
2023-06-03 22:28:41 | Epoch [19/50] | Batch 85/509 | d_loss: 0.3963 | g_loss: 5.3306
2023-06-03 22:28:43 | Epoch [19/50] | Batch 90/509 | d_loss: 0.3604 | g_loss: 5.4105
2023-06-03 22:28:45 | Epoch [19/50] | Batch 95/509 | d_loss: 0.3901 | g_loss: 3.8404
2023-06-03 22:28:46 | Epoch [19/50] | Batch 100/509 | d_loss: 0.4292 | g_loss: 2.6848
2023-06-03 22:28:48 | Epoch [19/50] | Batch 105/509 | d_loss: 0.3766 | g_loss: 5.3389
2023-06-03 22:28:50 | Epoch [19/50] | Batch 110/509 | d_loss: 0.3968 | g_loss: 3.5710
2023-06-03 22:28:51 | Epoch [19/50] | Batch 115/509 | d_loss: 0.4313 | g_loss: 4.7601
2023-06-03 22:28:53 | Epoch [19/50] | Batch 120/509 | d_loss: 0.3770 | g_loss: 3.2608
2023-06-03 22:28:54 | Epoch [19/50] | Batch 125/509 | d_loss: 0.3785 | g_loss: 2.9876
2023-06-03 22:28:56 | Epoch [19/50] | Batch 130/509 | d_loss: 0.4034 | g_loss: 4.7869
2023-06-03 22:28:58 | Epoch [19/50] | Batch 135/509 | d_loss: 0.3624 | g_loss: 6.4410
2023-06-03 22:28:59 | Epoch [19/50] | Batch 140/509 | d_loss: 0.4125 | g_loss: 3.1260
2023-06-03 22:29:01 | Epoch [19/50] | Batch 145/509 | d_loss: 0.4640 | g_loss: 4.6393
2023-06-03 22:29:03 | Epoch [19/50] | Batch 150/509 | d_loss: 0.4032 | g_loss: 3.2366
2023-06-03 22:29:04 | Epoch [19/50] | Batch 155/509 | d_loss: 0.4816 | g_loss: 4.5998
2023-06-03 22:29:06 | Epoch [19/50] | Batch 160/509 | d_loss: 0.3905 | g_loss: 3.4526
2023-06-03 22:29:08 | Epoch [19/50] | Batch 165/509 | d_loss: 0.3676 | g_loss: 4.7639
2023-06-03 22:29:09 | Epoch [19/50] | Batch 170/509 | d_loss: 0.4184 | g_loss: 3.7428
2023-06-03 22:29:11 | Epoch [19/50] | Batch 175/509 | d_loss: 0.3597 | g_loss: 4.4435
2023-06-03 22:29:13 | Epoch [19/50] | Batch 180/509 | d_loss: 0.4034 | g_loss: 5.1675
2023-06-03 22:29:14 | Epoch [19/50] | Batch 185/509 | d_loss: 0.3724 | g_loss: 3.9121
2023-06-03 22:29:16 | Epoch [19/50] | Batch 190/509 | d_loss: 1.0700 | g_loss: 3.7031
2023-06-03 22:29:17 | Epoch [19/50] | Batch 195/509 | d_loss: 0.6373 | g_loss: 3.5651
2023-06-03 22:29:19 | Epoch [19/50] | Batch 200/509 | d_loss: 0.3907 | g_loss: 4.8776
2023-06-03 22:29:21 | Epoch [19/50] | Batch 205/509 | d_loss: 0.4594 | g_loss: 3.9223
2023-06-03 22:29:22 | Epoch [19/50] | Batch 210/509 | d_loss: 0.3891 | g_loss: 4.0178
2023-06-03 22:29:24 | Epoch [19/50] | Batch 215/509 | d_loss: 0.4075 | g_loss: 4.3410
2023-06-03 22:29:26 | Epoch [19/50] | Batch 220/509 | d_loss: 0.4159 | g_loss: 3.4518
2023-06-03 22:29:27 | Epoch [19/50] | Batch 225/509 | d_loss: 0.3581 | g_loss: 4.6265
2023-06-03 22:29:29 | Epoch [19/50] | Batch 230/509 | d_loss: 0.3542 | g_loss: 5.6354
2023-06-03 22:29:31 | Epoch [19/50] | Batch 235/509 | d_loss: 0.3719 | g_loss: 4.2176
2023-06-03 22:29:32 | Epoch [19/50] | Batch 240/509 | d_loss: 0.5533 | g_loss: 6.8991
2023-06-03 22:29:34 | Epoch [19/50] | Batch 245/509 | d_loss: 0.3555 | g_loss: 4.9994
2023-06-03 22:29:35 | Epoch [19/50] | Batch 250/509 | d_loss: 0.5552 | g_loss: 4.5449
2023-06-03 22:29:37 | Epoch [19/50] | Batch 255/509 | d_loss: 0.3728 | g_loss: 4.6149
2023-06-03 22:29:39 | Epoch [19/50] | Batch 260/509 | d_loss: 0.3921 | g_loss: 3.6167
2023-06-03 22:29:40 | Epoch [19/50] | Batch 265/509 | d_loss: 0.3528 | g_loss: 5.6912
2023-06-03 22:29:42 | Epoch [19/50] | Batch 270/509 | d_loss: 0.4861 | g_loss: 3.8651
2023-06-03 22:29:44 | Epoch [19/50] | Batch 275/509 | d_loss: 0.4657 | g_loss: 4.3692
2023-06-03 22:29:45 | Epoch [19/50] | Batch 280/509 | d_loss: 0.3666 | g_loss: 3.3270
2023-06-03 22:29:47 | Epoch [19/50] | Batch 285/509 | d_loss: 0.4149 | g_loss: 4.7376
2023-06-03 22:29:49 | Epoch [19/50] | Batch 290/509 | d_loss: 0.4046 | g_loss: 4.3824
2023-06-03 22:29:50 | Epoch [19/50] | Batch 295/509 | d_loss: 0.3708 | g_loss: 4.9470
2023-06-03 22:29:52 | Epoch [19/50] | Batch 300/509 | d_loss: 0.4642 | g_loss: 3.3619
2023-06-03 22:29:53 | Epoch [19/50] | Batch 305/509 | d_loss: 0.4393 | g_loss: 3.6921
2023-06-03 22:29:55 | Epoch [19/50] | Batch 310/509 | d_loss: 1.0550 | g_loss: 6.5533
2023-06-03 22:29:57 | Epoch [19/50] | Batch 315/509 | d_loss: 0.5931 | g_loss: 5.1932
2023-06-03 22:29:58 | Epoch [19/50] | Batch 320/509 | d_loss: 0.4722 | g_loss: 3.4809
2023-06-03 22:30:00 | Epoch [19/50] | Batch 325/509 | d_loss: 0.8726 | g_loss: 6.8557
2023-06-03 22:30:02 | Epoch [19/50] | Batch 330/509 | d_loss: 0.4933 | g_loss: 3.7681
2023-06-03 22:30:03 | Epoch [19/50] | Batch 335/509 | d_loss: 0.4265 | g_loss: 4.1883
2023-06-03 22:30:05 | Epoch [19/50] | Batch 340/509 | d_loss: 0.4532 | g_loss: 4.2462
2023-06-03 22:30:07 | Epoch [19/50] | Batch 345/509 | d_loss: 0.7883 | g_loss: 5.6743
2023-06-03 22:30:08 | Epoch [19/50] | Batch 350/509 | d_loss: 0.4638 | g_loss: 3.7076
2023-06-03 22:30:10 | Epoch [19/50] | Batch 355/509 | d_loss: 0.5574 | g_loss: 4.7902
2023-06-03 22:30:12 | Epoch [19/50] | Batch 360/509 | d_loss: 0.3952 | g_loss: 3.9427
2023-06-03 22:30:13 | Epoch [19/50] | Batch 365/509 | d_loss: 0.4771 | g_loss: 4.9431
2023-06-03 22:30:15 | Epoch [19/50] | Batch 370/509 | d_loss: 0.4979 | g_loss: 3.8135
2023-06-03 22:30:16 | Epoch [19/50] | Batch 375/509 | d_loss: 0.3967 | g_loss: 3.9793
2023-06-03 22:30:18 | Epoch [19/50] | Batch 380/509 | d_loss: 0.3880 | g_loss: 2.9150
2023-06-03 22:30:20 | Epoch [19/50] | Batch 385/509 | d_loss: 0.3688 | g_loss: 4.7093
2023-06-03 22:30:21 | Epoch [19/50] | Batch 390/509 | d_loss: 0.3783 | g_loss: 4.4134
2023-06-03 22:30:23 | Epoch [19/50] | Batch 395/509 | d_loss: 0.3794 | g_loss: 4.8483
2023-06-03 22:30:25 | Epoch [19/50] | Batch 400/509 | d_loss: 0.3729 | g_loss: 4.7792
2023-06-03 22:30:26 | Epoch [19/50] | Batch 405/509 | d_loss: 0.4586 | g_loss: 4.4366
2023-06-03 22:30:28 | Epoch [19/50] | Batch 410/509 | d_loss: 0.4393 | g_loss: 3.6033
2023-06-03 22:30:30 | Epoch [19/50] | Batch 415/509 | d_loss: 0.3872 | g_loss: 4.1355
2023-06-03 22:30:31 | Epoch [19/50] | Batch 420/509 | d_loss: 0.3963 | g_loss: 4.5358
2023-06-03 22:30:33 | Epoch [19/50] | Batch 425/509 | d_loss: 0.5182 | g_loss: 5.4879
2023-06-03 22:30:34 | Epoch [19/50] | Batch 430/509 | d_loss: 0.3874 | g_loss: 3.3277
2023-06-03 22:30:36 | Epoch [19/50] | Batch 435/509 | d_loss: 0.4177 | g_loss: 3.5104
2023-06-03 22:30:38 | Epoch [19/50] | Batch 440/509 | d_loss: 0.3508 | g_loss: 5.6532
2023-06-03 22:30:39 | Epoch [19/50] | Batch 445/509 | d_loss: 0.3561 | g_loss: 4.9636
2023-06-03 22:30:41 | Epoch [19/50] | Batch 450/509 | d_loss: 0.4039 | g_loss: 3.5644
2023-06-03 22:30:43 | Epoch [19/50] | Batch 455/509 | d_loss: 0.3800 | g_loss: 4.1397
2023-06-03 22:30:44 | Epoch [19/50] | Batch 460/509 | d_loss: 0.7476 | g_loss: 1.9809
2023-06-03 22:30:46 | Epoch [19/50] | Batch 465/509 | d_loss: 0.4135 | g_loss: 4.5082
2023-06-03 22:30:48 | Epoch [19/50] | Batch 470/509 | d_loss: 0.3618 | g_loss: 4.8377
2023-06-03 22:30:49 | Epoch [19/50] | Batch 475/509 | d_loss: 0.3941 | g_loss: 4.1684
2023-06-03 22:30:51 | Epoch [19/50] | Batch 480/509 | d_loss: 0.3861 | g_loss: 5.3978
2023-06-03 22:30:53 | Epoch [19/50] | Batch 485/509 | d_loss: 0.3472 | g_loss: 5.3729
2023-06-03 22:30:54 | Epoch [19/50] | Batch 490/509 | d_loss: 0.5468 | g_loss: 4.7835
2023-06-03 22:30:56 | Epoch [19/50] | Batch 495/509 | d_loss: 0.4243 | g_loss: 4.4318
2023-06-03 22:30:57 | Epoch [19/50] | Batch 500/509 | d_loss: 0.4419 | g_loss: 3.7827
2023-06-03 22:30:59 | Epoch [19/50] | Batch 505/509 | d_loss: 0.4904 | g_loss: 5.5194

2023-06-03 22:31:02 | Epoch [20/50] | Batch 0/509 | d_loss: 0.3779 | g_loss: 4.2449
2023-06-03 22:31:03 | Epoch [20/50] | Batch 5/509 | d_loss: 0.3586 | g_loss: 4.4018
2023-06-03 22:31:05 | Epoch [20/50] | Batch 10/509 | d_loss: 0.3733 | g_loss: 3.7802
2023-06-03 22:31:07 | Epoch [20/50] | Batch 15/509 | d_loss: 0.3839 | g_loss: 4.0211
2023-06-03 22:31:08 | Epoch [20/50] | Batch 20/509 | d_loss: 0.3502 | g_loss: 4.7841
2023-06-03 22:31:10 | Epoch [20/50] | Batch 25/509 | d_loss: 0.4557 | g_loss: 6.0582
2023-06-03 22:31:11 | Epoch [20/50] | Batch 30/509 | d_loss: 0.3857 | g_loss: 3.2032
2023-06-03 22:31:13 | Epoch [20/50] | Batch 35/509 | d_loss: 0.4113 | g_loss: 4.2335
2023-06-03 22:31:15 | Epoch [20/50] | Batch 40/509 | d_loss: 0.3564 | g_loss: 5.1572
2023-06-03 22:31:16 | Epoch [20/50] | Batch 45/509 | d_loss: 0.3907 | g_loss: 3.5611
2023-06-03 22:31:18 | Epoch [20/50] | Batch 50/509 | d_loss: 0.3582 | g_loss: 5.0333
2023-06-03 22:31:20 | Epoch [20/50] | Batch 55/509 | d_loss: 0.4176 | g_loss: 4.4571
2023-06-03 22:31:21 | Epoch [20/50] | Batch 60/509 | d_loss: 0.4412 | g_loss: 2.9031
2023-06-03 22:31:23 | Epoch [20/50] | Batch 65/509 | d_loss: 0.4660 | g_loss: 4.7118
2023-06-03 22:31:25 | Epoch [20/50] | Batch 70/509 | d_loss: 0.4016 | g_loss: 4.1973
2023-06-03 22:31:26 | Epoch [20/50] | Batch 75/509 | d_loss: 0.3714 | g_loss: 4.7396
2023-06-03 22:31:28 | Epoch [20/50] | Batch 80/509 | d_loss: 0.3645 | g_loss: 4.8295
2023-06-03 22:31:30 | Epoch [20/50] | Batch 85/509 | d_loss: 0.8620 | g_loss: 5.8002
2023-06-03 22:31:31 | Epoch [20/50] | Batch 90/509 | d_loss: 0.3884 | g_loss: 3.8390
2023-06-03 22:31:33 | Epoch [20/50] | Batch 95/509 | d_loss: 0.4342 | g_loss: 5.0475
2023-06-03 22:31:34 | Epoch [20/50] | Batch 100/509 | d_loss: 0.3695 | g_loss: 5.6377
2023-06-03 22:31:36 | Epoch [20/50] | Batch 105/509 | d_loss: 0.3477 | g_loss: 6.7280
2023-06-03 22:31:38 | Epoch [20/50] | Batch 110/509 | d_loss: 0.3597 | g_loss: 3.4047
2023-06-03 22:31:39 | Epoch [20/50] | Batch 115/509 | d_loss: 0.3629 | g_loss: 4.9158
2023-06-03 22:31:41 | Epoch [20/50] | Batch 120/509 | d_loss: 0.3645 | g_loss: 6.4175
2023-06-03 22:31:43 | Epoch [20/50] | Batch 125/509 | d_loss: 0.5043 | g_loss: 3.5836
2023-06-03 22:31:44 | Epoch [20/50] | Batch 130/509 | d_loss: 0.7233 | g_loss: 1.3016
2023-06-03 22:31:46 | Epoch [20/50] | Batch 135/509 | d_loss: 0.4168 | g_loss: 4.0162
2023-06-03 22:31:48 | Epoch [20/50] | Batch 140/509 | d_loss: 0.3853 | g_loss: 5.3723
2023-06-03 22:31:49 | Epoch [20/50] | Batch 145/509 | d_loss: 0.4204 | g_loss: 3.6050
2023-06-03 22:31:51 | Epoch [20/50] | Batch 150/509 | d_loss: 0.3968 | g_loss: 4.4605
2023-06-03 22:31:53 | Epoch [20/50] | Batch 155/509 | d_loss: 0.4520 | g_loss: 2.3038
2023-06-03 22:31:54 | Epoch [20/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 4.7490
2023-06-03 22:31:56 | Epoch [20/50] | Batch 165/509 | d_loss: 0.3520 | g_loss: 6.5315
2023-06-03 22:31:57 | Epoch [20/50] | Batch 170/509 | d_loss: 0.3843 | g_loss: 3.9077
2023-06-03 22:31:59 | Epoch [20/50] | Batch 175/509 | d_loss: 0.4972 | g_loss: 4.7332
2023-06-03 22:32:01 | Epoch [20/50] | Batch 180/509 | d_loss: 0.3855 | g_loss: 4.5998
2023-06-03 22:32:02 | Epoch [20/50] | Batch 185/509 | d_loss: 0.4056 | g_loss: 2.8852
2023-06-03 22:32:04 | Epoch [20/50] | Batch 190/509 | d_loss: 0.4055 | g_loss: 3.2292
2023-06-03 22:32:06 | Epoch [20/50] | Batch 195/509 | d_loss: 0.3947 | g_loss: 5.0635
2023-06-03 22:32:07 | Epoch [20/50] | Batch 200/509 | d_loss: 0.4321 | g_loss: 3.8404
2023-06-03 22:32:09 | Epoch [20/50] | Batch 205/509 | d_loss: 0.3929 | g_loss: 3.8867
2023-06-03 22:32:11 | Epoch [20/50] | Batch 210/509 | d_loss: 0.3518 | g_loss: 4.8768
2023-06-03 22:32:12 | Epoch [20/50] | Batch 215/509 | d_loss: 0.3574 | g_loss: 4.7406
2023-06-03 22:32:14 | Epoch [20/50] | Batch 220/509 | d_loss: 0.3619 | g_loss: 5.1136
2023-06-03 22:32:16 | Epoch [20/50] | Batch 225/509 | d_loss: 0.3964 | g_loss: 4.1403
2023-06-03 22:32:17 | Epoch [20/50] | Batch 230/509 | d_loss: 0.3614 | g_loss: 5.1160
2023-06-03 22:32:19 | Epoch [20/50] | Batch 235/509 | d_loss: 0.3774 | g_loss: 3.7360
2023-06-03 22:32:21 | Epoch [20/50] | Batch 240/509 | d_loss: 0.3695 | g_loss: 4.6115
2023-06-03 22:32:22 | Epoch [20/50] | Batch 245/509 | d_loss: 0.6811 | g_loss: 2.4346
2023-06-03 22:32:24 | Epoch [20/50] | Batch 250/509 | d_loss: 0.3846 | g_loss: 3.2821
2023-06-03 22:32:25 | Epoch [20/50] | Batch 255/509 | d_loss: 0.3443 | g_loss: 5.9203
2023-06-03 22:32:27 | Epoch [20/50] | Batch 260/509 | d_loss: 0.5726 | g_loss: 4.8768
2023-06-03 22:32:29 | Epoch [20/50] | Batch 265/509 | d_loss: 0.3924 | g_loss: 4.8441
2023-06-03 22:32:30 | Epoch [20/50] | Batch 270/509 | d_loss: 0.4970 | g_loss: 3.9081
2023-06-03 22:32:32 | Epoch [20/50] | Batch 275/509 | d_loss: 0.4073 | g_loss: 4.1479
2023-06-03 22:32:34 | Epoch [20/50] | Batch 280/509 | d_loss: 0.3858 | g_loss: 4.6965
2023-06-03 22:32:35 | Epoch [20/50] | Batch 285/509 | d_loss: 0.3518 | g_loss: 4.9034
2023-06-03 22:32:37 | Epoch [20/50] | Batch 290/509 | d_loss: 0.3615 | g_loss: 5.3616
2023-06-03 22:32:39 | Epoch [20/50] | Batch 295/509 | d_loss: 0.3755 | g_loss: 3.0273
2023-06-03 22:32:40 | Epoch [20/50] | Batch 300/509 | d_loss: 0.4108 | g_loss: 5.8040
2023-06-03 22:32:42 | Epoch [20/50] | Batch 305/509 | d_loss: 0.3483 | g_loss: 5.4404
2023-06-03 22:32:44 | Epoch [20/50] | Batch 310/509 | d_loss: 0.3970 | g_loss: 4.8340
2023-06-03 22:32:45 | Epoch [20/50] | Batch 315/509 | d_loss: 0.3686 | g_loss: 4.2859
2023-06-03 22:32:47 | Epoch [20/50] | Batch 320/509 | d_loss: 0.3816 | g_loss: 5.5502
2023-06-03 22:32:48 | Epoch [20/50] | Batch 325/509 | d_loss: 0.3593 | g_loss: 4.2998
2023-06-03 22:32:50 | Epoch [20/50] | Batch 330/509 | d_loss: 0.4057 | g_loss: 4.5563
2023-06-03 22:32:52 | Epoch [20/50] | Batch 335/509 | d_loss: 0.3628 | g_loss: 5.3557
2023-06-03 22:32:53 | Epoch [20/50] | Batch 340/509 | d_loss: 0.3836 | g_loss: 4.7391
2023-06-03 22:32:55 | Epoch [20/50] | Batch 345/509 | d_loss: 0.3651 | g_loss: 4.7034
2023-06-03 22:32:57 | Epoch [20/50] | Batch 350/509 | d_loss: 0.3518 | g_loss: 5.5611
2023-06-03 22:32:58 | Epoch [20/50] | Batch 355/509 | d_loss: 0.4224 | g_loss: 5.5071
2023-06-03 22:33:00 | Epoch [20/50] | Batch 360/509 | d_loss: 0.3457 | g_loss: 4.8698
2023-06-03 22:33:02 | Epoch [20/50] | Batch 365/509 | d_loss: 0.3526 | g_loss: 6.1994
2023-06-03 22:33:03 | Epoch [20/50] | Batch 370/509 | d_loss: 0.4045 | g_loss: 4.5169
2023-06-03 22:33:05 | Epoch [20/50] | Batch 375/509 | d_loss: 0.3659 | g_loss: 5.8966
2023-06-03 22:33:06 | Epoch [20/50] | Batch 380/509 | d_loss: 0.5746 | g_loss: 3.4054
2023-06-03 22:33:08 | Epoch [20/50] | Batch 385/509 | d_loss: 3.5577 | g_loss: 9.2468
2023-06-03 22:33:10 | Epoch [20/50] | Batch 390/509 | d_loss: 0.4914 | g_loss: 3.5093
2023-06-03 22:33:11 | Epoch [20/50] | Batch 395/509 | d_loss: 0.4816 | g_loss: 2.8744
2023-06-03 22:33:13 | Epoch [20/50] | Batch 400/509 | d_loss: 0.6689 | g_loss: 2.7353
2023-06-03 22:33:15 | Epoch [20/50] | Batch 405/509 | d_loss: 0.5473 | g_loss: 3.0802
2023-06-03 22:33:16 | Epoch [20/50] | Batch 410/509 | d_loss: 0.6738 | g_loss: 2.5290
2023-06-03 22:33:18 | Epoch [20/50] | Batch 415/509 | d_loss: 0.7374 | g_loss: 4.3942
2023-06-03 22:33:20 | Epoch [20/50] | Batch 420/509 | d_loss: 0.4617 | g_loss: 2.8129
2023-06-03 22:33:21 | Epoch [20/50] | Batch 425/509 | d_loss: 0.6868 | g_loss: 4.6123
2023-06-03 22:33:23 | Epoch [20/50] | Batch 430/509 | d_loss: 0.5718 | g_loss: 3.7783
2023-06-03 22:33:24 | Epoch [20/50] | Batch 435/509 | d_loss: 0.4793 | g_loss: 2.6096
2023-06-03 22:33:26 | Epoch [20/50] | Batch 440/509 | d_loss: 0.4774 | g_loss: 2.9980
2023-06-03 22:33:28 | Epoch [20/50] | Batch 445/509 | d_loss: 0.7890 | g_loss: 5.2079
2023-06-03 22:33:29 | Epoch [20/50] | Batch 450/509 | d_loss: 0.4608 | g_loss: 2.9763
2023-06-03 22:33:31 | Epoch [20/50] | Batch 455/509 | d_loss: 0.5840 | g_loss: 4.6364
2023-06-03 22:33:33 | Epoch [20/50] | Batch 460/509 | d_loss: 0.7325 | g_loss: 2.8027
2023-06-03 22:33:34 | Epoch [20/50] | Batch 465/509 | d_loss: 0.4548 | g_loss: 3.5395
2023-06-03 22:33:36 | Epoch [20/50] | Batch 470/509 | d_loss: 0.5068 | g_loss: 3.3689
2023-06-03 22:33:38 | Epoch [20/50] | Batch 475/509 | d_loss: 0.4444 | g_loss: 3.7817
2023-06-03 22:33:39 | Epoch [20/50] | Batch 480/509 | d_loss: 0.4239 | g_loss: 3.1007
2023-06-03 22:33:41 | Epoch [20/50] | Batch 485/509 | d_loss: 0.4423 | g_loss: 4.2038
2023-06-03 22:33:42 | Epoch [20/50] | Batch 490/509 | d_loss: 0.4324 | g_loss: 2.8818
2023-06-03 22:33:44 | Epoch [20/50] | Batch 495/509 | d_loss: 0.4164 | g_loss: 3.3102
2023-06-03 22:33:46 | Epoch [20/50] | Batch 500/509 | d_loss: 0.7664 | g_loss: 6.9482
2023-06-03 22:33:47 | Epoch [20/50] | Batch 505/509 | d_loss: 1.1558 | g_loss: 2.6871

2023-06-03 22:33:50 | Epoch [21/50] | Batch 0/509 | d_loss: 0.9198 | g_loss: 4.3508
2023-06-03 22:33:51 | Epoch [21/50] | Batch 5/509 | d_loss: 0.6610 | g_loss: 4.3705
2023-06-03 22:33:53 | Epoch [21/50] | Batch 10/509 | d_loss: 0.9781 | g_loss: 4.9217
2023-06-03 22:33:55 | Epoch [21/50] | Batch 15/509 | d_loss: 0.4872 | g_loss: 3.1746
2023-06-03 22:33:56 | Epoch [21/50] | Batch 20/509 | d_loss: 0.4049 | g_loss: 3.9503
2023-06-03 22:33:58 | Epoch [21/50] | Batch 25/509 | d_loss: 0.5723 | g_loss: 4.2597
2023-06-03 22:34:00 | Epoch [21/50] | Batch 30/509 | d_loss: 0.4449 | g_loss: 2.5668
2023-06-03 22:34:01 | Epoch [21/50] | Batch 35/509 | d_loss: 0.4339 | g_loss: 3.3884
2023-06-03 22:34:03 | Epoch [21/50] | Batch 40/509 | d_loss: 0.4511 | g_loss: 3.1379
2023-06-03 22:34:05 | Epoch [21/50] | Batch 45/509 | d_loss: 0.3848 | g_loss: 3.9491
2023-06-03 22:34:06 | Epoch [21/50] | Batch 50/509 | d_loss: 0.4306 | g_loss: 3.4314
2023-06-03 22:34:08 | Epoch [21/50] | Batch 55/509 | d_loss: 0.4005 | g_loss: 4.7228
2023-06-03 22:34:10 | Epoch [21/50] | Batch 60/509 | d_loss: 0.3776 | g_loss: 4.4042
2023-06-03 22:34:11 | Epoch [21/50] | Batch 65/509 | d_loss: 0.4124 | g_loss: 4.3352
2023-06-03 22:34:13 | Epoch [21/50] | Batch 70/509 | d_loss: 0.3916 | g_loss: 3.8152
2023-06-03 22:34:14 | Epoch [21/50] | Batch 75/509 | d_loss: 0.3667 | g_loss: 4.5597
2023-06-03 22:34:16 | Epoch [21/50] | Batch 80/509 | d_loss: 0.4261 | g_loss: 4.1067
2023-06-03 22:34:18 | Epoch [21/50] | Batch 85/509 | d_loss: 0.4821 | g_loss: 2.8196
2023-06-03 22:34:19 | Epoch [21/50] | Batch 90/509 | d_loss: 0.3923 | g_loss: 3.8775
2023-06-03 22:34:21 | Epoch [21/50] | Batch 95/509 | d_loss: 0.4060 | g_loss: 4.4813
2023-06-03 22:34:23 | Epoch [21/50] | Batch 100/509 | d_loss: 0.3871 | g_loss: 3.7543
2023-06-03 22:34:24 | Epoch [21/50] | Batch 105/509 | d_loss: 0.5238 | g_loss: 4.9324
2023-06-03 22:34:26 | Epoch [21/50] | Batch 110/509 | d_loss: 0.7510 | g_loss: 5.9957
2023-06-03 22:34:28 | Epoch [21/50] | Batch 115/509 | d_loss: 0.4456 | g_loss: 3.9746
2023-06-03 22:34:29 | Epoch [21/50] | Batch 120/509 | d_loss: 0.4691 | g_loss: 3.5149
2023-06-03 22:34:31 | Epoch [21/50] | Batch 125/509 | d_loss: 0.3936 | g_loss: 3.0831
2023-06-03 22:34:33 | Epoch [21/50] | Batch 130/509 | d_loss: 0.4005 | g_loss: 4.0303
2023-06-03 22:34:34 | Epoch [21/50] | Batch 135/509 | d_loss: 0.8864 | g_loss: 0.6437
2023-06-03 22:34:36 | Epoch [21/50] | Batch 140/509 | d_loss: 0.5815 | g_loss: 5.9257
2023-06-03 22:34:37 | Epoch [21/50] | Batch 145/509 | d_loss: 0.4777 | g_loss: 3.2670
2023-06-03 22:34:39 | Epoch [21/50] | Batch 150/509 | d_loss: 0.4132 | g_loss: 4.1094
2023-06-03 22:34:41 | Epoch [21/50] | Batch 155/509 | d_loss: 0.4716 | g_loss: 4.3658
2023-06-03 22:34:42 | Epoch [21/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 3.9834
2023-06-03 22:34:44 | Epoch [21/50] | Batch 165/509 | d_loss: 0.4049 | g_loss: 4.3282
2023-06-03 22:34:46 | Epoch [21/50] | Batch 170/509 | d_loss: 0.4084 | g_loss: 4.2835
2023-06-03 22:34:47 | Epoch [21/50] | Batch 175/509 | d_loss: 0.3600 | g_loss: 6.2304
2023-06-03 22:34:49 | Epoch [21/50] | Batch 180/509 | d_loss: 0.3777 | g_loss: 5.0860
2023-06-03 22:34:51 | Epoch [21/50] | Batch 185/509 | d_loss: 0.4330 | g_loss: 5.0452
2023-06-03 22:34:52 | Epoch [21/50] | Batch 190/509 | d_loss: 0.3888 | g_loss: 3.9249
2023-06-03 22:34:54 | Epoch [21/50] | Batch 195/509 | d_loss: 0.4458 | g_loss: 2.7371
2023-06-03 22:34:55 | Epoch [21/50] | Batch 200/509 | d_loss: 0.4236 | g_loss: 4.7392
2023-06-03 22:34:57 | Epoch [21/50] | Batch 205/509 | d_loss: 0.3862 | g_loss: 3.5163
2023-06-03 22:34:59 | Epoch [21/50] | Batch 210/509 | d_loss: 0.3937 | g_loss: 3.6687
2023-06-03 22:35:00 | Epoch [21/50] | Batch 215/509 | d_loss: 0.4391 | g_loss: 4.4962
2023-06-03 22:35:02 | Epoch [21/50] | Batch 220/509 | d_loss: 0.5817 | g_loss: 5.1436
2023-06-03 22:35:04 | Epoch [21/50] | Batch 225/509 | d_loss: 0.4090 | g_loss: 3.7657
2023-06-03 22:35:05 | Epoch [21/50] | Batch 230/509 | d_loss: 0.3802 | g_loss: 3.8339
2023-06-03 22:35:07 | Epoch [21/50] | Batch 235/509 | d_loss: 0.4088 | g_loss: 2.7284
2023-06-03 22:35:09 | Epoch [21/50] | Batch 240/509 | d_loss: 0.3522 | g_loss: 4.6501
2023-06-03 22:35:10 | Epoch [21/50] | Batch 245/509 | d_loss: 0.3987 | g_loss: 4.4024
2023-06-03 22:35:12 | Epoch [21/50] | Batch 250/509 | d_loss: 0.3541 | g_loss: 5.1463
2023-06-03 22:35:13 | Epoch [21/50] | Batch 255/509 | d_loss: 0.5177 | g_loss: 3.3804
2023-06-03 22:35:15 | Epoch [21/50] | Batch 260/509 | d_loss: 1.1708 | g_loss: 0.8696
2023-06-03 22:35:17 | Epoch [21/50] | Batch 265/509 | d_loss: 0.4444 | g_loss: 3.8101
2023-06-03 22:35:18 | Epoch [21/50] | Batch 270/509 | d_loss: 0.6292 | g_loss: 4.7488
2023-06-03 22:35:20 | Epoch [21/50] | Batch 275/509 | d_loss: 0.3964 | g_loss: 3.5849
2023-06-03 22:35:22 | Epoch [21/50] | Batch 280/509 | d_loss: 0.3875 | g_loss: 3.6631
2023-06-03 22:35:23 | Epoch [21/50] | Batch 285/509 | d_loss: 0.4268 | g_loss: 5.4348
2023-06-03 22:35:25 | Epoch [21/50] | Batch 290/509 | d_loss: 0.3623 | g_loss: 5.1092
2023-06-03 22:35:27 | Epoch [21/50] | Batch 295/509 | d_loss: 0.3764 | g_loss: 4.8166
2023-06-03 22:35:28 | Epoch [21/50] | Batch 300/509 | d_loss: 0.3507 | g_loss: 7.1912
2023-06-03 22:35:30 | Epoch [21/50] | Batch 305/509 | d_loss: 0.4083 | g_loss: 4.9439
2023-06-03 22:35:32 | Epoch [21/50] | Batch 310/509 | d_loss: 0.3787 | g_loss: 3.4465
2023-06-03 22:35:33 | Epoch [21/50] | Batch 315/509 | d_loss: 0.5156 | g_loss: 4.3368
2023-06-03 22:35:35 | Epoch [21/50] | Batch 320/509 | d_loss: 0.3721 | g_loss: 5.5422
2023-06-03 22:35:36 | Epoch [21/50] | Batch 325/509 | d_loss: 0.4538 | g_loss: 3.8384
2023-06-03 22:35:38 | Epoch [21/50] | Batch 330/509 | d_loss: 0.3840 | g_loss: 4.6471
2023-06-03 22:35:40 | Epoch [21/50] | Batch 335/509 | d_loss: 0.4248 | g_loss: 4.7332
2023-06-03 22:35:41 | Epoch [21/50] | Batch 340/509 | d_loss: 0.4179 | g_loss: 4.6976
2023-06-03 22:35:43 | Epoch [21/50] | Batch 345/509 | d_loss: 0.4531 | g_loss: 3.3940
2023-06-03 22:35:45 | Epoch [21/50] | Batch 350/509 | d_loss: 0.3747 | g_loss: 4.4534
2023-06-03 22:35:46 | Epoch [21/50] | Batch 355/509 | d_loss: 0.4019 | g_loss: 3.3913
2023-06-03 22:35:48 | Epoch [21/50] | Batch 360/509 | d_loss: 0.3579 | g_loss: 5.7480
2023-06-03 22:35:50 | Epoch [21/50] | Batch 365/509 | d_loss: 0.4100 | g_loss: 3.4528
2023-06-03 22:35:51 | Epoch [21/50] | Batch 370/509 | d_loss: 0.3629 | g_loss: 5.2471
2023-06-03 22:35:53 | Epoch [21/50] | Batch 375/509 | d_loss: 0.3564 | g_loss: 5.1095
2023-06-03 22:35:54 | Epoch [21/50] | Batch 380/509 | d_loss: 0.5842 | g_loss: 4.1196
2023-06-03 22:35:56 | Epoch [21/50] | Batch 385/509 | d_loss: 1.2228 | g_loss: 5.5226
2023-06-03 22:35:58 | Epoch [21/50] | Batch 390/509 | d_loss: 0.4477 | g_loss: 4.1387
2023-06-03 22:35:59 | Epoch [21/50] | Batch 395/509 | d_loss: 0.3810 | g_loss: 4.3250
2023-06-03 22:36:01 | Epoch [21/50] | Batch 400/509 | d_loss: 0.3801 | g_loss: 4.1832
2023-06-03 22:36:03 | Epoch [21/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 3.4843
2023-06-03 22:36:04 | Epoch [21/50] | Batch 410/509 | d_loss: 0.4871 | g_loss: 3.9192
2023-06-03 22:36:06 | Epoch [21/50] | Batch 415/509 | d_loss: 0.3741 | g_loss: 4.5432
2023-06-03 22:36:08 | Epoch [21/50] | Batch 420/509 | d_loss: 0.5252 | g_loss: 2.2340
2023-06-03 22:36:09 | Epoch [21/50] | Batch 425/509 | d_loss: 0.3775 | g_loss: 4.4772
2023-06-03 22:36:11 | Epoch [21/50] | Batch 430/509 | d_loss: 0.4283 | g_loss: 2.9283
2023-06-03 22:36:13 | Epoch [21/50] | Batch 435/509 | d_loss: 0.4365 | g_loss: 3.8289
2023-06-03 22:36:14 | Epoch [21/50] | Batch 440/509 | d_loss: 0.3958 | g_loss: 5.2498
2023-06-03 22:36:16 | Epoch [21/50] | Batch 445/509 | d_loss: 0.3838 | g_loss: 3.7479
2023-06-03 22:36:17 | Epoch [21/50] | Batch 450/509 | d_loss: 0.4905 | g_loss: 4.3593
2023-06-03 22:36:19 | Epoch [21/50] | Batch 455/509 | d_loss: 0.4059 | g_loss: 4.7970
2023-06-03 22:36:21 | Epoch [21/50] | Batch 460/509 | d_loss: 0.4059 | g_loss: 3.8808
2023-06-03 22:36:22 | Epoch [21/50] | Batch 465/509 | d_loss: 0.3921 | g_loss: 3.5722
2023-06-03 22:36:24 | Epoch [21/50] | Batch 470/509 | d_loss: 0.3871 | g_loss: 4.6952
2023-06-03 22:36:26 | Epoch [21/50] | Batch 475/509 | d_loss: 0.3816 | g_loss: 4.6333
2023-06-03 22:36:27 | Epoch [21/50] | Batch 480/509 | d_loss: 0.3591 | g_loss: 6.0509
2023-06-03 22:36:29 | Epoch [21/50] | Batch 485/509 | d_loss: 0.4182 | g_loss: 5.4056
2023-06-03 22:36:31 | Epoch [21/50] | Batch 490/509 | d_loss: 0.4655 | g_loss: 3.0367
2023-06-03 22:36:32 | Epoch [21/50] | Batch 495/509 | d_loss: 0.4845 | g_loss: 4.2482
2023-06-03 22:36:34 | Epoch [21/50] | Batch 500/509 | d_loss: 0.4175 | g_loss: 4.2377
2023-06-03 22:36:35 | Epoch [21/50] | Batch 505/509 | d_loss: 0.3987 | g_loss: 4.7050

2023-06-03 22:36:38 | Epoch [22/50] | Batch 0/509 | d_loss: 0.4363 | g_loss: 6.0325
2023-06-03 22:36:40 | Epoch [22/50] | Batch 5/509 | d_loss: 0.3658 | g_loss: 4.4481
2023-06-03 22:36:41 | Epoch [22/50] | Batch 10/509 | d_loss: 0.3530 | g_loss: 5.2519
2023-06-03 22:36:43 | Epoch [22/50] | Batch 15/509 | d_loss: 0.3637 | g_loss: 3.4063
2023-06-03 22:36:45 | Epoch [22/50] | Batch 20/509 | d_loss: 0.3487 | g_loss: 7.1607
2023-06-03 22:36:46 | Epoch [22/50] | Batch 25/509 | d_loss: 0.3577 | g_loss: 5.5563
2023-06-03 22:36:48 | Epoch [22/50] | Batch 30/509 | d_loss: 0.3582 | g_loss: 8.2825
2023-06-03 22:36:50 | Epoch [22/50] | Batch 35/509 | d_loss: 0.5363 | g_loss: 3.4431
2023-06-03 22:36:51 | Epoch [22/50] | Batch 40/509 | d_loss: 0.7558 | g_loss: 4.1178
2023-06-03 22:36:53 | Epoch [22/50] | Batch 45/509 | d_loss: 0.5126 | g_loss: 2.4543
2023-06-03 22:36:54 | Epoch [22/50] | Batch 50/509 | d_loss: 0.3955 | g_loss: 5.0676
2023-06-03 22:36:56 | Epoch [22/50] | Batch 55/509 | d_loss: 0.5886 | g_loss: 4.9358
2023-06-03 22:36:58 | Epoch [22/50] | Batch 60/509 | d_loss: 0.6739 | g_loss: 5.0329
2023-06-03 22:36:59 | Epoch [22/50] | Batch 65/509 | d_loss: 0.3773 | g_loss: 3.8490
2023-06-03 22:37:01 | Epoch [22/50] | Batch 70/509 | d_loss: 0.4584 | g_loss: 3.9628
2023-06-03 22:37:03 | Epoch [22/50] | Batch 75/509 | d_loss: 0.4194 | g_loss: 6.0805
2023-06-03 22:37:04 | Epoch [22/50] | Batch 80/509 | d_loss: 0.4461 | g_loss: 2.4828
2023-06-03 22:37:06 | Epoch [22/50] | Batch 85/509 | d_loss: 0.3547 | g_loss: 4.0144
2023-06-03 22:37:08 | Epoch [22/50] | Batch 90/509 | d_loss: 1.3560 | g_loss: 3.6401
2023-06-03 22:37:09 | Epoch [22/50] | Batch 95/509 | d_loss: 0.9515 | g_loss: 2.7325
2023-06-03 22:37:11 | Epoch [22/50] | Batch 100/509 | d_loss: 0.4095 | g_loss: 4.1439
2023-06-03 22:37:12 | Epoch [22/50] | Batch 105/509 | d_loss: 0.4278 | g_loss: 3.5562
2023-06-03 22:37:14 | Epoch [22/50] | Batch 110/509 | d_loss: 0.4182 | g_loss: 4.6978
2023-06-03 22:37:16 | Epoch [22/50] | Batch 115/509 | d_loss: 0.4630 | g_loss: 4.5271
2023-06-03 22:37:17 | Epoch [22/50] | Batch 120/509 | d_loss: 0.4791 | g_loss: 3.2829
2023-06-03 22:37:19 | Epoch [22/50] | Batch 125/509 | d_loss: 0.3995 | g_loss: 3.4309
2023-06-03 22:37:21 | Epoch [22/50] | Batch 130/509 | d_loss: 0.5207 | g_loss: 2.5700
2023-06-03 22:37:22 | Epoch [22/50] | Batch 135/509 | d_loss: 0.3844 | g_loss: 4.7229
2023-06-03 22:37:24 | Epoch [22/50] | Batch 140/509 | d_loss: 0.4113 | g_loss: 3.0352
2023-06-03 22:37:26 | Epoch [22/50] | Batch 145/509 | d_loss: 0.4385 | g_loss: 4.6350
2023-06-03 22:37:27 | Epoch [22/50] | Batch 150/509 | d_loss: 0.3711 | g_loss: 4.7685
2023-06-03 22:37:29 | Epoch [22/50] | Batch 155/509 | d_loss: 0.3513 | g_loss: 4.9721
2023-06-03 22:37:30 | Epoch [22/50] | Batch 160/509 | d_loss: 1.2073 | g_loss: 2.8289
2023-06-03 22:37:32 | Epoch [22/50] | Batch 165/509 | d_loss: 0.5589 | g_loss: 1.6018
2023-06-03 22:37:34 | Epoch [22/50] | Batch 170/509 | d_loss: 0.4322 | g_loss: 3.5902
2023-06-03 22:37:35 | Epoch [22/50] | Batch 175/509 | d_loss: 0.6898 | g_loss: 2.3885
2023-06-03 22:37:37 | Epoch [22/50] | Batch 180/509 | d_loss: 0.4060 | g_loss: 4.4036
2023-06-03 22:37:39 | Epoch [22/50] | Batch 185/509 | d_loss: 0.5181 | g_loss: 3.4882
2023-06-03 22:37:40 | Epoch [22/50] | Batch 190/509 | d_loss: 1.1784 | g_loss: 2.5034
2023-06-03 22:37:42 | Epoch [22/50] | Batch 195/509 | d_loss: 0.9911 | g_loss: 1.9103
2023-06-03 22:37:44 | Epoch [22/50] | Batch 200/509 | d_loss: 0.4761 | g_loss: 3.5965
2023-06-03 22:37:45 | Epoch [22/50] | Batch 205/509 | d_loss: 0.5881 | g_loss: 2.8906
2023-06-03 22:37:47 | Epoch [22/50] | Batch 210/509 | d_loss: 0.4798 | g_loss: 4.1718
2023-06-03 22:37:49 | Epoch [22/50] | Batch 215/509 | d_loss: 0.9637 | g_loss: 4.1008
2023-06-03 22:37:50 | Epoch [22/50] | Batch 220/509 | d_loss: 0.3712 | g_loss: 6.0898
2023-06-03 22:37:52 | Epoch [22/50] | Batch 225/509 | d_loss: 1.0979 | g_loss: 3.8885
2023-06-03 22:37:53 | Epoch [22/50] | Batch 230/509 | d_loss: 0.5571 | g_loss: 2.4898
2023-06-03 22:37:55 | Epoch [22/50] | Batch 235/509 | d_loss: 0.5749 | g_loss: 2.1745
2023-06-03 22:37:57 | Epoch [22/50] | Batch 240/509 | d_loss: 0.4426 | g_loss: 3.5762
2023-06-03 22:37:58 | Epoch [22/50] | Batch 245/509 | d_loss: 0.4775 | g_loss: 3.4923
2023-06-03 22:38:00 | Epoch [22/50] | Batch 250/509 | d_loss: 0.5549 | g_loss: 3.9748
2023-06-03 22:38:02 | Epoch [22/50] | Batch 255/509 | d_loss: 0.4512 | g_loss: 3.6736
2023-06-03 22:38:03 | Epoch [22/50] | Batch 260/509 | d_loss: 0.4520 | g_loss: 3.4562
2023-06-03 22:38:05 | Epoch [22/50] | Batch 265/509 | d_loss: 0.3752 | g_loss: 5.1664
2023-06-03 22:38:07 | Epoch [22/50] | Batch 270/509 | d_loss: 0.4473 | g_loss: 3.9245
2023-06-03 22:38:08 | Epoch [22/50] | Batch 275/509 | d_loss: 0.3743 | g_loss: 4.0657
2023-06-03 22:38:10 | Epoch [22/50] | Batch 280/509 | d_loss: 0.4147 | g_loss: 3.4817
2023-06-03 22:38:11 | Epoch [22/50] | Batch 285/509 | d_loss: 0.4008 | g_loss: 4.0212
2023-06-03 22:38:13 | Epoch [22/50] | Batch 290/509 | d_loss: 0.7409 | g_loss: 4.3797
2023-06-03 22:38:15 | Epoch [22/50] | Batch 295/509 | d_loss: 0.4170 | g_loss: 3.1467
2023-06-03 22:38:16 | Epoch [22/50] | Batch 300/509 | d_loss: 0.4642 | g_loss: 4.4857
2023-06-03 22:38:18 | Epoch [22/50] | Batch 305/509 | d_loss: 0.4244 | g_loss: 3.1709
2023-06-03 22:38:20 | Epoch [22/50] | Batch 310/509 | d_loss: 0.4245 | g_loss: 3.2709
2023-06-03 22:38:21 | Epoch [22/50] | Batch 315/509 | d_loss: 0.3709 | g_loss: 4.2320
2023-06-03 22:38:23 | Epoch [22/50] | Batch 320/509 | d_loss: 1.1731 | g_loss: 4.2696
2023-06-03 22:38:25 | Epoch [22/50] | Batch 325/509 | d_loss: 0.4395 | g_loss: 3.7836
2023-06-03 22:38:26 | Epoch [22/50] | Batch 330/509 | d_loss: 0.4371 | g_loss: 3.6043
2023-06-03 22:38:28 | Epoch [22/50] | Batch 335/509 | d_loss: 0.4576 | g_loss: 3.8943
2023-06-03 22:38:30 | Epoch [22/50] | Batch 340/509 | d_loss: 1.4084 | g_loss: 9.6484
2023-06-03 22:38:31 | Epoch [22/50] | Batch 345/509 | d_loss: 1.2351 | g_loss: 4.7810
2023-06-03 22:38:33 | Epoch [22/50] | Batch 350/509 | d_loss: 0.4856 | g_loss: 3.1860
2023-06-03 22:38:34 | Epoch [22/50] | Batch 355/509 | d_loss: 0.4828 | g_loss: 3.8357
2023-06-03 22:38:36 | Epoch [22/50] | Batch 360/509 | d_loss: 0.8610 | g_loss: 6.2216
2023-06-03 22:38:38 | Epoch [22/50] | Batch 365/509 | d_loss: 0.5173 | g_loss: 3.3807
2023-06-03 22:38:39 | Epoch [22/50] | Batch 370/509 | d_loss: 0.4673 | g_loss: 3.6667
2023-06-03 22:38:41 | Epoch [22/50] | Batch 375/509 | d_loss: 0.5810 | g_loss: 2.7363
2023-06-03 22:38:43 | Epoch [22/50] | Batch 380/509 | d_loss: 0.4169 | g_loss: 2.6727
2023-06-03 22:38:44 | Epoch [22/50] | Batch 385/509 | d_loss: 0.4185 | g_loss: 4.0492
2023-06-03 22:38:46 | Epoch [22/50] | Batch 390/509 | d_loss: 0.4086 | g_loss: 4.1218
2023-06-03 22:38:48 | Epoch [22/50] | Batch 395/509 | d_loss: 0.3787 | g_loss: 5.2052
2023-06-03 22:38:49 | Epoch [22/50] | Batch 400/509 | d_loss: 0.5220 | g_loss: 4.1182
2023-06-03 22:38:51 | Epoch [22/50] | Batch 405/509 | d_loss: 0.4735 | g_loss: 3.0407
2023-06-03 22:38:52 | Epoch [22/50] | Batch 410/509 | d_loss: 0.4055 | g_loss: 3.9847
2023-06-03 22:38:54 | Epoch [22/50] | Batch 415/509 | d_loss: 0.5568 | g_loss: 2.9773
2023-06-03 22:38:56 | Epoch [22/50] | Batch 420/509 | d_loss: 0.4428 | g_loss: 2.6401
2023-06-03 22:38:57 | Epoch [22/50] | Batch 425/509 | d_loss: 0.4630 | g_loss: 3.9733
2023-06-03 22:38:59 | Epoch [22/50] | Batch 430/509 | d_loss: 0.4405 | g_loss: 3.2712
2023-06-03 22:39:01 | Epoch [22/50] | Batch 435/509 | d_loss: 0.4539 | g_loss: 4.8057
2023-06-03 22:39:02 | Epoch [22/50] | Batch 440/509 | d_loss: 0.3868 | g_loss: 3.8076
2023-06-03 22:39:04 | Epoch [22/50] | Batch 445/509 | d_loss: 0.6307 | g_loss: 1.9651
2023-06-03 22:39:06 | Epoch [22/50] | Batch 450/509 | d_loss: 0.4291 | g_loss: 3.9155
2023-06-03 22:39:07 | Epoch [22/50] | Batch 455/509 | d_loss: 0.5257 | g_loss: 2.7668
2023-06-03 22:39:09 | Epoch [22/50] | Batch 460/509 | d_loss: 0.4245 | g_loss: 4.6011
2023-06-03 22:39:10 | Epoch [22/50] | Batch 465/509 | d_loss: 0.3804 | g_loss: 3.2135
2023-06-03 22:39:12 | Epoch [22/50] | Batch 470/509 | d_loss: 0.3578 | g_loss: 4.0988
2023-06-03 22:39:14 | Epoch [22/50] | Batch 475/509 | d_loss: 0.6973 | g_loss: 1.9939
2023-06-03 22:39:15 | Epoch [22/50] | Batch 480/509 | d_loss: 0.3809 | g_loss: 5.0160
2023-06-03 22:39:17 | Epoch [22/50] | Batch 485/509 | d_loss: 0.3612 | g_loss: 4.8017
2023-06-03 22:39:19 | Epoch [22/50] | Batch 490/509 | d_loss: 0.4013 | g_loss: 4.0628
2023-06-03 22:39:20 | Epoch [22/50] | Batch 495/509 | d_loss: 0.3917 | g_loss: 3.7551
2023-06-03 22:39:22 | Epoch [22/50] | Batch 500/509 | d_loss: 0.8708 | g_loss: 4.1695
2023-06-03 22:39:24 | Epoch [22/50] | Batch 505/509 | d_loss: 0.4163 | g_loss: 3.2022

2023-06-03 22:39:26 | Epoch [23/50] | Batch 0/509 | d_loss: 0.4127 | g_loss: 3.3601
2023-06-03 22:39:28 | Epoch [23/50] | Batch 5/509 | d_loss: 0.3684 | g_loss: 4.8531
2023-06-03 22:39:29 | Epoch [23/50] | Batch 10/509 | d_loss: 0.3864 | g_loss: 3.1917
2023-06-03 22:39:31 | Epoch [23/50] | Batch 15/509 | d_loss: 0.4045 | g_loss: 3.9669
2023-06-03 22:39:33 | Epoch [23/50] | Batch 20/509 | d_loss: 0.4258 | g_loss: 3.9728
2023-06-03 22:39:34 | Epoch [23/50] | Batch 25/509 | d_loss: 0.3840 | g_loss: 3.6981
2023-06-03 22:39:36 | Epoch [23/50] | Batch 30/509 | d_loss: 0.3548 | g_loss: 4.5158
2023-06-03 22:39:37 | Epoch [23/50] | Batch 35/509 | d_loss: 0.4356 | g_loss: 2.6670
2023-06-03 22:39:39 | Epoch [23/50] | Batch 40/509 | d_loss: 0.6752 | g_loss: 5.3514
2023-06-03 22:39:41 | Epoch [23/50] | Batch 45/509 | d_loss: 0.3675 | g_loss: 4.4649
2023-06-03 22:39:42 | Epoch [23/50] | Batch 50/509 | d_loss: 0.3629 | g_loss: 5.0667
2023-06-03 22:39:44 | Epoch [23/50] | Batch 55/509 | d_loss: 0.3747 | g_loss: 4.4260
2023-06-03 22:39:46 | Epoch [23/50] | Batch 60/509 | d_loss: 0.3768 | g_loss: 4.7501
2023-06-03 22:39:47 | Epoch [23/50] | Batch 65/509 | d_loss: 0.3884 | g_loss: 4.9072
2023-06-03 22:39:49 | Epoch [23/50] | Batch 70/509 | d_loss: 0.3796 | g_loss: 3.5344
2023-06-03 22:39:51 | Epoch [23/50] | Batch 75/509 | d_loss: 0.3806 | g_loss: 3.7309
2023-06-03 22:39:52 | Epoch [23/50] | Batch 80/509 | d_loss: 0.3446 | g_loss: 5.7423
2023-06-03 22:39:54 | Epoch [23/50] | Batch 85/509 | d_loss: 0.3489 | g_loss: 6.7682
2023-06-03 22:39:55 | Epoch [23/50] | Batch 90/509 | d_loss: 0.4148 | g_loss: 4.3461
2023-06-03 22:39:57 | Epoch [23/50] | Batch 95/509 | d_loss: 0.4017 | g_loss: 4.2705
2023-06-03 22:39:59 | Epoch [23/50] | Batch 100/509 | d_loss: 0.5264 | g_loss: 3.7630
2023-06-03 22:40:00 | Epoch [23/50] | Batch 105/509 | d_loss: 0.3642 | g_loss: 5.0226
2023-06-03 22:40:02 | Epoch [23/50] | Batch 110/509 | d_loss: 0.3741 | g_loss: 4.4999
2023-06-03 22:40:04 | Epoch [23/50] | Batch 115/509 | d_loss: 0.4434 | g_loss: 4.2096
2023-06-03 22:40:05 | Epoch [23/50] | Batch 120/509 | d_loss: 0.4663 | g_loss: 5.2212
2023-06-03 22:40:07 | Epoch [23/50] | Batch 125/509 | d_loss: 0.3971 | g_loss: 4.0559
2023-06-03 22:40:09 | Epoch [23/50] | Batch 130/509 | d_loss: 1.1751 | g_loss: 6.9799
2023-06-03 22:40:10 | Epoch [23/50] | Batch 135/509 | d_loss: 0.7582 | g_loss: 5.2213
2023-06-03 22:40:12 | Epoch [23/50] | Batch 140/509 | d_loss: 0.3685 | g_loss: 5.2218
2023-06-03 22:40:13 | Epoch [23/50] | Batch 145/509 | d_loss: 0.3730 | g_loss: 5.5032
2023-06-03 22:40:15 | Epoch [23/50] | Batch 150/509 | d_loss: 0.6716 | g_loss: 2.1250
2023-06-03 22:40:17 | Epoch [23/50] | Batch 155/509 | d_loss: 0.4136 | g_loss: 4.3775
2023-06-03 22:40:18 | Epoch [23/50] | Batch 160/509 | d_loss: 0.3588 | g_loss: 5.2337
2023-06-03 22:40:20 | Epoch [23/50] | Batch 165/509 | d_loss: 0.4594 | g_loss: 2.2791
2023-06-03 22:40:22 | Epoch [23/50] | Batch 170/509 | d_loss: 0.3405 | g_loss: 5.5831
2023-06-03 22:40:23 | Epoch [23/50] | Batch 175/509 | d_loss: 0.4568 | g_loss: 2.9411
2023-06-03 22:40:25 | Epoch [23/50] | Batch 180/509 | d_loss: 0.3570 | g_loss: 4.6481
2023-06-03 22:40:27 | Epoch [23/50] | Batch 185/509 | d_loss: 0.3474 | g_loss: 7.2111
2023-06-03 22:40:28 | Epoch [23/50] | Batch 190/509 | d_loss: 0.3831 | g_loss: 3.7642
2023-06-03 22:40:30 | Epoch [23/50] | Batch 195/509 | d_loss: 0.3930 | g_loss: 3.4101
2023-06-03 22:40:31 | Epoch [23/50] | Batch 200/509 | d_loss: 0.4962 | g_loss: 3.0438
2023-06-03 22:40:33 | Epoch [23/50] | Batch 205/509 | d_loss: 0.3612 | g_loss: 4.4216
2023-06-03 22:40:35 | Epoch [23/50] | Batch 210/509 | d_loss: 0.4837 | g_loss: 4.9754
2023-06-03 22:40:36 | Epoch [23/50] | Batch 215/509 | d_loss: 0.3731 | g_loss: 5.3357
2023-06-03 22:40:38 | Epoch [23/50] | Batch 220/509 | d_loss: 0.3731 | g_loss: 5.4408
2023-06-03 22:40:40 | Epoch [23/50] | Batch 225/509 | d_loss: 0.6665 | g_loss: 4.7024
2023-06-03 22:40:41 | Epoch [23/50] | Batch 230/509 | d_loss: 0.4658 | g_loss: 3.2029
2023-06-03 22:40:43 | Epoch [23/50] | Batch 235/509 | d_loss: 0.4170 | g_loss: 3.4561
2023-06-03 22:40:45 | Epoch [23/50] | Batch 240/509 | d_loss: 0.3864 | g_loss: 4.7729
2023-06-03 22:40:46 | Epoch [23/50] | Batch 245/509 | d_loss: 0.5236 | g_loss: 4.0468
2023-06-03 22:40:48 | Epoch [23/50] | Batch 250/509 | d_loss: 0.3902 | g_loss: 5.4887
2023-06-03 22:40:49 | Epoch [23/50] | Batch 255/509 | d_loss: 0.3767 | g_loss: 3.9667
2023-06-03 22:40:51 | Epoch [23/50] | Batch 260/509 | d_loss: 0.3563 | g_loss: 4.8156
2023-06-03 22:40:53 | Epoch [23/50] | Batch 265/509 | d_loss: 0.3550 | g_loss: 5.1050
2023-06-03 22:40:54 | Epoch [23/50] | Batch 270/509 | d_loss: 0.4052 | g_loss: 4.2948
2023-06-03 22:40:56 | Epoch [23/50] | Batch 275/509 | d_loss: 0.3585 | g_loss: 4.8144
2023-06-03 22:40:58 | Epoch [23/50] | Batch 280/509 | d_loss: 0.3711 | g_loss: 4.2521
2023-06-03 22:40:59 | Epoch [23/50] | Batch 285/509 | d_loss: 0.3892 | g_loss: 3.2655
2023-06-03 22:41:01 | Epoch [23/50] | Batch 290/509 | d_loss: 0.3457 | g_loss: 5.3848
2023-06-03 22:41:03 | Epoch [23/50] | Batch 295/509 | d_loss: 0.3476 | g_loss: 4.8488
2023-06-03 22:41:04 | Epoch [23/50] | Batch 300/509 | d_loss: 0.3487 | g_loss: 6.9788
2023-06-03 22:41:06 | Epoch [23/50] | Batch 305/509 | d_loss: 0.3597 | g_loss: 5.3013
2023-06-03 22:41:07 | Epoch [23/50] | Batch 310/509 | d_loss: 0.4579 | g_loss: 2.6783
2023-06-03 22:41:09 | Epoch [23/50] | Batch 315/509 | d_loss: 0.3835 | g_loss: 5.7010
2023-06-03 22:41:11 | Epoch [23/50] | Batch 320/509 | d_loss: 0.3758 | g_loss: 3.6122
2023-06-03 22:41:12 | Epoch [23/50] | Batch 325/509 | d_loss: 0.3605 | g_loss: 5.9501
2023-06-03 22:41:14 | Epoch [23/50] | Batch 330/509 | d_loss: 0.3562 | g_loss: 5.1211
2023-06-03 22:41:16 | Epoch [23/50] | Batch 335/509 | d_loss: 0.3760 | g_loss: 3.2940
2023-06-03 22:41:17 | Epoch [23/50] | Batch 340/509 | d_loss: 0.3764 | g_loss: 4.4630
2023-06-03 22:41:19 | Epoch [23/50] | Batch 345/509 | d_loss: 0.8927 | g_loss: 6.7265
2023-06-03 22:41:21 | Epoch [23/50] | Batch 350/509 | d_loss: 0.8704 | g_loss: 5.3727
2023-06-03 22:41:22 | Epoch [23/50] | Batch 355/509 | d_loss: 0.3782 | g_loss: 5.0279
2023-06-03 22:41:24 | Epoch [23/50] | Batch 360/509 | d_loss: 0.4203 | g_loss: 3.4129
2023-06-03 22:41:25 | Epoch [23/50] | Batch 365/509 | d_loss: 0.4422 | g_loss: 4.0716
2023-06-03 22:41:27 | Epoch [23/50] | Batch 370/509 | d_loss: 0.3751 | g_loss: 5.9516
2023-06-03 22:41:29 | Epoch [23/50] | Batch 375/509 | d_loss: 0.4256 | g_loss: 4.7163
2023-06-03 22:41:30 | Epoch [23/50] | Batch 380/509 | d_loss: 0.3620 | g_loss: 5.3364
2023-06-03 22:41:32 | Epoch [23/50] | Batch 385/509 | d_loss: 0.4247 | g_loss: 4.4754
2023-06-03 22:41:34 | Epoch [23/50] | Batch 390/509 | d_loss: 0.3911 | g_loss: 5.3979
2023-06-03 22:41:35 | Epoch [23/50] | Batch 395/509 | d_loss: 0.6573 | g_loss: 1.3186
2023-06-03 22:41:37 | Epoch [23/50] | Batch 400/509 | d_loss: 0.3934 | g_loss: 4.6839
2023-06-03 22:41:39 | Epoch [23/50] | Batch 405/509 | d_loss: 0.3624 | g_loss: 8.0924
2023-06-03 22:41:40 | Epoch [23/50] | Batch 410/509 | d_loss: 0.3831 | g_loss: 3.9745
2023-06-03 22:41:42 | Epoch [23/50] | Batch 415/509 | d_loss: 0.4672 | g_loss: 4.2416
2023-06-03 22:41:43 | Epoch [23/50] | Batch 420/509 | d_loss: 0.3697 | g_loss: 3.7255
2023-06-03 22:41:45 | Epoch [23/50] | Batch 425/509 | d_loss: 0.4797 | g_loss: 4.4721
2023-06-03 22:41:47 | Epoch [23/50] | Batch 430/509 | d_loss: 0.5488 | g_loss: 4.4039
2023-06-03 22:41:48 | Epoch [23/50] | Batch 435/509 | d_loss: 0.3526 | g_loss: 5.8539
2023-06-03 22:41:50 | Epoch [23/50] | Batch 440/509 | d_loss: 0.3798 | g_loss: 4.1502
2023-06-03 22:41:52 | Epoch [23/50] | Batch 445/509 | d_loss: 0.3843 | g_loss: 5.2209
2023-06-03 22:41:53 | Epoch [23/50] | Batch 450/509 | d_loss: 0.4049 | g_loss: 3.9749
2023-06-03 22:41:55 | Epoch [23/50] | Batch 455/509 | d_loss: 0.3537 | g_loss: 5.2076
2023-06-03 22:41:57 | Epoch [23/50] | Batch 460/509 | d_loss: 0.4105 | g_loss: 5.3721
2023-06-03 22:41:58 | Epoch [23/50] | Batch 465/509 | d_loss: 0.3715 | g_loss: 4.9879
2023-06-03 22:42:00 | Epoch [23/50] | Batch 470/509 | d_loss: 0.3445 | g_loss: 5.3566
2023-06-03 22:42:01 | Epoch [23/50] | Batch 475/509 | d_loss: 0.4356 | g_loss: 2.9879
2023-06-03 22:42:03 | Epoch [23/50] | Batch 480/509 | d_loss: 0.3570 | g_loss: 6.3932
2023-06-03 22:42:05 | Epoch [23/50] | Batch 485/509 | d_loss: 0.3728 | g_loss: 5.2153
2023-06-03 22:42:06 | Epoch [23/50] | Batch 490/509 | d_loss: 0.4015 | g_loss: 3.3479
2023-06-03 22:42:08 | Epoch [23/50] | Batch 495/509 | d_loss: 0.4041 | g_loss: 4.3234
2023-06-03 22:42:10 | Epoch [23/50] | Batch 500/509 | d_loss: 0.4173 | g_loss: 4.1105
2023-06-03 22:42:11 | Epoch [23/50] | Batch 505/509 | d_loss: 0.3586 | g_loss: 4.0059

2023-06-03 22:42:14 | Epoch [24/50] | Batch 0/509 | d_loss: 0.3868 | g_loss: 3.2679
2023-06-03 22:42:15 | Epoch [24/50] | Batch 5/509 | d_loss: 0.3669 | g_loss: 4.7089
2023-06-03 22:42:17 | Epoch [24/50] | Batch 10/509 | d_loss: 0.3691 | g_loss: 4.4949
2023-06-03 22:42:19 | Epoch [24/50] | Batch 15/509 | d_loss: 0.4264 | g_loss: 3.9933
2023-06-03 22:42:20 | Epoch [24/50] | Batch 20/509 | d_loss: 0.4160 | g_loss: 4.3623
2023-06-03 22:42:22 | Epoch [24/50] | Batch 25/509 | d_loss: 1.7424 | g_loss: 8.8952
2023-06-03 22:42:24 | Epoch [24/50] | Batch 30/509 | d_loss: 0.5122 | g_loss: 2.4551
2023-06-03 22:42:25 | Epoch [24/50] | Batch 35/509 | d_loss: 0.4807 | g_loss: 2.9842
2023-06-03 22:42:27 | Epoch [24/50] | Batch 40/509 | d_loss: 0.4121 | g_loss: 3.7733
2023-06-03 22:42:29 | Epoch [24/50] | Batch 45/509 | d_loss: 0.8722 | g_loss: 3.9392
2023-06-03 22:42:30 | Epoch [24/50] | Batch 50/509 | d_loss: 0.3980 | g_loss: 4.3161
2023-06-03 22:42:32 | Epoch [24/50] | Batch 55/509 | d_loss: 0.4526 | g_loss: 3.8557
2023-06-03 22:42:34 | Epoch [24/50] | Batch 60/509 | d_loss: 0.3945 | g_loss: 4.0514
2023-06-03 22:42:35 | Epoch [24/50] | Batch 65/509 | d_loss: 0.4842 | g_loss: 4.4989
2023-06-03 22:42:37 | Epoch [24/50] | Batch 70/509 | d_loss: 0.3969 | g_loss: 3.9089
2023-06-03 22:42:38 | Epoch [24/50] | Batch 75/509 | d_loss: 0.3767 | g_loss: 3.3334
2023-06-03 22:42:40 | Epoch [24/50] | Batch 80/509 | d_loss: 0.9353 | g_loss: 3.8720
2023-06-03 22:42:42 | Epoch [24/50] | Batch 85/509 | d_loss: 0.6244 | g_loss: 4.7782
2023-06-03 22:42:43 | Epoch [24/50] | Batch 90/509 | d_loss: 0.3998 | g_loss: 3.9300
2023-06-03 22:42:45 | Epoch [24/50] | Batch 95/509 | d_loss: 0.3913 | g_loss: 3.5013
2023-06-03 22:42:47 | Epoch [24/50] | Batch 100/509 | d_loss: 0.3840 | g_loss: 3.0738
2023-06-03 22:42:48 | Epoch [24/50] | Batch 105/509 | d_loss: 0.8413 | g_loss: 3.1188
2023-06-03 22:42:50 | Epoch [24/50] | Batch 110/509 | d_loss: 0.4795 | g_loss: 3.5988
2023-06-03 22:42:52 | Epoch [24/50] | Batch 115/509 | d_loss: 0.3970 | g_loss: 4.6339
2023-06-03 22:42:53 | Epoch [24/50] | Batch 120/509 | d_loss: 0.4084 | g_loss: 3.5192
2023-06-03 22:42:55 | Epoch [24/50] | Batch 125/509 | d_loss: 0.3969 | g_loss: 2.7852
2023-06-03 22:42:56 | Epoch [24/50] | Batch 130/509 | d_loss: 0.4234 | g_loss: 4.0801
2023-06-03 22:42:58 | Epoch [24/50] | Batch 135/509 | d_loss: 0.4818 | g_loss: 4.8135
2023-06-03 22:43:00 | Epoch [24/50] | Batch 140/509 | d_loss: 0.4304 | g_loss: 4.6269
2023-06-03 22:43:01 | Epoch [24/50] | Batch 145/509 | d_loss: 0.3664 | g_loss: 4.1498
2023-06-03 22:43:03 | Epoch [24/50] | Batch 150/509 | d_loss: 0.3703 | g_loss: 5.9723
2023-06-03 22:43:05 | Epoch [24/50] | Batch 155/509 | d_loss: 0.4363 | g_loss: 4.7100
2023-06-03 22:43:06 | Epoch [24/50] | Batch 160/509 | d_loss: 0.3516 | g_loss: 5.7352
2023-06-03 22:43:08 | Epoch [24/50] | Batch 165/509 | d_loss: 0.3684 | g_loss: 4.7179
2023-06-03 22:43:10 | Epoch [24/50] | Batch 170/509 | d_loss: 0.4329 | g_loss: 4.0814
2023-06-03 22:43:11 | Epoch [24/50] | Batch 175/509 | d_loss: 0.3524 | g_loss: 5.6006
2023-06-03 22:43:13 | Epoch [24/50] | Batch 180/509 | d_loss: 0.3759 | g_loss: 5.8606
2023-06-03 22:43:15 | Epoch [24/50] | Batch 185/509 | d_loss: 0.3814 | g_loss: 5.0765
2023-06-03 22:43:16 | Epoch [24/50] | Batch 190/509 | d_loss: 0.3852 | g_loss: 4.2527
2023-06-03 22:43:18 | Epoch [24/50] | Batch 195/509 | d_loss: 0.3812 | g_loss: 3.7905
2023-06-03 22:43:19 | Epoch [24/50] | Batch 200/509 | d_loss: 0.4463 | g_loss: 4.4708
2023-06-03 22:43:21 | Epoch [24/50] | Batch 205/509 | d_loss: 0.3800 | g_loss: 4.4045
2023-06-03 22:43:23 | Epoch [24/50] | Batch 210/509 | d_loss: 0.3694 | g_loss: 4.0066
2023-06-03 22:43:24 | Epoch [24/50] | Batch 215/509 | d_loss: 0.4576 | g_loss: 3.4571
2023-06-03 22:43:26 | Epoch [24/50] | Batch 220/509 | d_loss: 0.4837 | g_loss: 2.8390
2023-06-03 22:43:28 | Epoch [24/50] | Batch 225/509 | d_loss: 0.5034 | g_loss: 4.9653
2023-06-03 22:43:29 | Epoch [24/50] | Batch 230/509 | d_loss: 1.2623 | g_loss: 4.2757
2023-06-03 22:43:31 | Epoch [24/50] | Batch 235/509 | d_loss: 2.3796 | g_loss: 7.1069
2023-06-03 22:43:33 | Epoch [24/50] | Batch 240/509 | d_loss: 0.4534 | g_loss: 3.2169
2023-06-03 22:43:34 | Epoch [24/50] | Batch 245/509 | d_loss: 0.5404 | g_loss: 3.6640
2023-06-03 22:43:36 | Epoch [24/50] | Batch 250/509 | d_loss: 0.4888 | g_loss: 2.6535
2023-06-03 22:43:37 | Epoch [24/50] | Batch 255/509 | d_loss: 0.5097 | g_loss: 4.2393
2023-06-03 22:43:39 | Epoch [24/50] | Batch 260/509 | d_loss: 0.5116 | g_loss: 5.1694
2023-06-03 22:43:41 | Epoch [24/50] | Batch 265/509 | d_loss: 0.4071 | g_loss: 4.3851
2023-06-03 22:43:42 | Epoch [24/50] | Batch 270/509 | d_loss: 0.3698 | g_loss: 6.7976
2023-06-03 22:43:44 | Epoch [24/50] | Batch 275/509 | d_loss: 0.5813 | g_loss: 1.7508
2023-06-03 22:43:46 | Epoch [24/50] | Batch 280/509 | d_loss: 0.5314 | g_loss: 2.4765
2023-06-03 22:43:47 | Epoch [24/50] | Batch 285/509 | d_loss: 0.4101 | g_loss: 6.3052
2023-06-03 22:43:49 | Epoch [24/50] | Batch 290/509 | d_loss: 0.3999 | g_loss: 4.6684
2023-06-03 22:43:51 | Epoch [24/50] | Batch 295/509 | d_loss: 0.4538 | g_loss: 3.6876
2023-06-03 22:43:52 | Epoch [24/50] | Batch 300/509 | d_loss: 0.4638 | g_loss: 4.1404
2023-06-03 22:43:54 | Epoch [24/50] | Batch 305/509 | d_loss: 0.3673 | g_loss: 4.9678
2023-06-03 22:43:55 | Epoch [24/50] | Batch 310/509 | d_loss: 0.3773 | g_loss: 4.6438
2023-06-03 22:43:57 | Epoch [24/50] | Batch 315/509 | d_loss: 0.3679 | g_loss: 4.2461
2023-06-03 22:43:59 | Epoch [24/50] | Batch 320/509 | d_loss: 0.3641 | g_loss: 4.4405
2023-06-03 22:44:00 | Epoch [24/50] | Batch 325/509 | d_loss: 0.3757 | g_loss: 4.6014
2023-06-03 22:44:02 | Epoch [24/50] | Batch 330/509 | d_loss: 0.3904 | g_loss: 4.7378
2023-06-03 22:44:04 | Epoch [24/50] | Batch 335/509 | d_loss: 0.3761 | g_loss: 3.9292
2023-06-03 22:44:05 | Epoch [24/50] | Batch 340/509 | d_loss: 0.3561 | g_loss: 5.8998
2023-06-03 22:44:07 | Epoch [24/50] | Batch 345/509 | d_loss: 0.3860 | g_loss: 3.7747
2023-06-03 22:44:09 | Epoch [24/50] | Batch 350/509 | d_loss: 0.4134 | g_loss: 3.3809
2023-06-03 22:44:10 | Epoch [24/50] | Batch 355/509 | d_loss: 0.3742 | g_loss: 5.1565
2023-06-03 22:44:12 | Epoch [24/50] | Batch 360/509 | d_loss: 0.3473 | g_loss: 5.0313
2023-06-03 22:44:13 | Epoch [24/50] | Batch 365/509 | d_loss: 0.3956 | g_loss: 3.6409
2023-06-03 22:44:15 | Epoch [24/50] | Batch 370/509 | d_loss: 1.3850 | g_loss: 3.9619
2023-06-03 22:44:17 | Epoch [24/50] | Batch 375/509 | d_loss: 0.5194 | g_loss: 5.5877
2023-06-03 22:44:18 | Epoch [24/50] | Batch 380/509 | d_loss: 0.4623 | g_loss: 3.0976
2023-06-03 22:44:20 | Epoch [24/50] | Batch 385/509 | d_loss: 0.4035 | g_loss: 3.3974
2023-06-03 22:44:22 | Epoch [24/50] | Batch 390/509 | d_loss: 0.3654 | g_loss: 3.8038
2023-06-03 22:44:23 | Epoch [24/50] | Batch 395/509 | d_loss: 0.5037 | g_loss: 7.5669
2023-06-03 22:44:25 | Epoch [24/50] | Batch 400/509 | d_loss: 0.5332 | g_loss: 5.6136
2023-06-03 22:44:27 | Epoch [24/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 3.5488
2023-06-03 22:44:28 | Epoch [24/50] | Batch 410/509 | d_loss: 0.3759 | g_loss: 4.2445
2023-06-03 22:44:30 | Epoch [24/50] | Batch 415/509 | d_loss: 0.3895 | g_loss: 4.1854
2023-06-03 22:44:32 | Epoch [24/50] | Batch 420/509 | d_loss: 0.4386 | g_loss: 3.7087
2023-06-03 22:44:33 | Epoch [24/50] | Batch 425/509 | d_loss: 0.3638 | g_loss: 4.9729
2023-06-03 22:44:35 | Epoch [24/50] | Batch 430/509 | d_loss: 0.3825 | g_loss: 5.0614
2023-06-03 22:44:36 | Epoch [24/50] | Batch 435/509 | d_loss: 0.3844 | g_loss: 6.0169
2023-06-03 22:44:38 | Epoch [24/50] | Batch 440/509 | d_loss: 0.3742 | g_loss: 3.6459
2023-06-03 22:44:40 | Epoch [24/50] | Batch 445/509 | d_loss: 0.3839 | g_loss: 4.8525
2023-06-03 22:44:41 | Epoch [24/50] | Batch 450/509 | d_loss: 0.4061 | g_loss: 4.0069
2023-06-03 22:44:43 | Epoch [24/50] | Batch 455/509 | d_loss: 0.3531 | g_loss: 5.4314
2023-06-03 22:44:45 | Epoch [24/50] | Batch 460/509 | d_loss: 0.5529 | g_loss: 4.6390
2023-06-03 22:44:46 | Epoch [24/50] | Batch 465/509 | d_loss: 0.4938 | g_loss: 2.1824
2023-06-03 22:44:48 | Epoch [24/50] | Batch 470/509 | d_loss: 0.3799 | g_loss: 4.5019
2023-06-03 22:44:50 | Epoch [24/50] | Batch 475/509 | d_loss: 0.4312 | g_loss: 3.6622
2023-06-03 22:44:51 | Epoch [24/50] | Batch 480/509 | d_loss: 0.3807 | g_loss: 4.4956
2023-06-03 22:44:53 | Epoch [24/50] | Batch 485/509 | d_loss: 0.4264 | g_loss: 4.9230
2023-06-03 22:44:54 | Epoch [24/50] | Batch 490/509 | d_loss: 0.3848 | g_loss: 3.7444
2023-06-03 22:44:56 | Epoch [24/50] | Batch 495/509 | d_loss: 0.4325 | g_loss: 2.9810
2023-06-03 22:44:58 | Epoch [24/50] | Batch 500/509 | d_loss: 0.3567 | g_loss: 4.3161
2023-06-03 22:44:59 | Epoch [24/50] | Batch 505/509 | d_loss: 0.3605 | g_loss: 3.6523

2023-06-03 22:45:02 | Epoch [25/50] | Batch 0/509 | d_loss: 0.4138 | g_loss: 4.6446
2023-06-03 22:45:03 | Epoch [25/50] | Batch 5/509 | d_loss: 0.4343 | g_loss: 4.7745
2023-06-03 22:45:05 | Epoch [25/50] | Batch 10/509 | d_loss: 0.3770 | g_loss: 5.3223
2023-06-03 22:45:07 | Epoch [25/50] | Batch 15/509 | d_loss: 1.0859 | g_loss: 6.7523
2023-06-03 22:45:08 | Epoch [25/50] | Batch 20/509 | d_loss: 0.3959 | g_loss: 3.9214
2023-06-03 22:45:10 | Epoch [25/50] | Batch 25/509 | d_loss: 0.3764 | g_loss: 4.4396
2023-06-03 22:45:12 | Epoch [25/50] | Batch 30/509 | d_loss: 0.3967 | g_loss: 4.4426
2023-06-03 22:45:13 | Epoch [25/50] | Batch 35/509 | d_loss: 0.4001 | g_loss: 4.2205
2023-06-03 22:45:15 | Epoch [25/50] | Batch 40/509 | d_loss: 0.6507 | g_loss: 4.8132
2023-06-03 22:45:17 | Epoch [25/50] | Batch 45/509 | d_loss: 0.3777 | g_loss: 5.1497
2023-06-03 22:45:18 | Epoch [25/50] | Batch 50/509 | d_loss: 0.3615 | g_loss: 4.6082
2023-06-03 22:45:20 | Epoch [25/50] | Batch 55/509 | d_loss: 0.4083 | g_loss: 3.8696
2023-06-03 22:45:21 | Epoch [25/50] | Batch 60/509 | d_loss: 0.3686 | g_loss: 5.4826
2023-06-03 22:45:23 | Epoch [25/50] | Batch 65/509 | d_loss: 0.3603 | g_loss: 5.7510
2023-06-03 22:45:25 | Epoch [25/50] | Batch 70/509 | d_loss: 0.3953 | g_loss: 3.3798
2023-06-03 22:45:26 | Epoch [25/50] | Batch 75/509 | d_loss: 0.3560 | g_loss: 6.7116
2023-06-03 22:45:28 | Epoch [25/50] | Batch 80/509 | d_loss: 0.3896 | g_loss: 4.2336
2023-06-03 22:45:30 | Epoch [25/50] | Batch 85/509 | d_loss: 0.3734 | g_loss: 4.3024
2023-06-03 22:45:31 | Epoch [25/50] | Batch 90/509 | d_loss: 0.5114 | g_loss: 4.8694
2023-06-03 22:45:33 | Epoch [25/50] | Batch 95/509 | d_loss: 0.3579 | g_loss: 6.1097
2023-06-03 22:45:35 | Epoch [25/50] | Batch 100/509 | d_loss: 0.3750 | g_loss: 4.3882
2023-06-03 22:45:36 | Epoch [25/50] | Batch 105/509 | d_loss: 0.3429 | g_loss: 7.6724
2023-06-03 22:45:38 | Epoch [25/50] | Batch 110/509 | d_loss: 0.3555 | g_loss: 4.5881
2023-06-03 22:45:39 | Epoch [25/50] | Batch 115/509 | d_loss: 0.4041 | g_loss: 5.2364
2023-06-03 22:45:41 | Epoch [25/50] | Batch 120/509 | d_loss: 0.4088 | g_loss: 3.7061
2023-06-03 22:45:43 | Epoch [25/50] | Batch 125/509 | d_loss: 0.3821 | g_loss: 5.1437
2023-06-03 22:45:44 | Epoch [25/50] | Batch 130/509 | d_loss: 0.3993 | g_loss: 3.6031
2023-06-03 22:45:46 | Epoch [25/50] | Batch 135/509 | d_loss: 0.4111 | g_loss: 3.6623
2023-06-03 22:45:48 | Epoch [25/50] | Batch 140/509 | d_loss: 0.3730 | g_loss: 4.4189
2023-06-03 22:45:49 | Epoch [25/50] | Batch 145/509 | d_loss: 0.3908 | g_loss: 4.1995
2023-06-03 22:45:51 | Epoch [25/50] | Batch 150/509 | d_loss: 0.3684 | g_loss: 3.3699
2023-06-03 22:45:53 | Epoch [25/50] | Batch 155/509 | d_loss: 0.3778 | g_loss: 4.5127
2023-06-03 22:45:54 | Epoch [25/50] | Batch 160/509 | d_loss: 0.5602 | g_loss: 1.5437
2023-06-03 22:45:56 | Epoch [25/50] | Batch 165/509 | d_loss: 0.4408 | g_loss: 3.8136
2023-06-03 22:45:57 | Epoch [25/50] | Batch 170/509 | d_loss: 0.3963 | g_loss: 3.5830
2023-06-03 22:45:59 | Epoch [25/50] | Batch 175/509 | d_loss: 0.3915 | g_loss: 5.8164
2023-06-03 22:46:01 | Epoch [25/50] | Batch 180/509 | d_loss: 0.3740 | g_loss: 5.6011
2023-06-03 22:46:02 | Epoch [25/50] | Batch 185/509 | d_loss: 0.3614 | g_loss: 4.6471
2023-06-03 22:46:04 | Epoch [25/50] | Batch 190/509 | d_loss: 0.3641 | g_loss: 3.8151
2023-06-03 22:46:06 | Epoch [25/50] | Batch 195/509 | d_loss: 0.5124 | g_loss: 5.9630
2023-06-03 22:46:07 | Epoch [25/50] | Batch 200/509 | d_loss: 0.3579 | g_loss: 3.4590
2023-06-03 22:46:09 | Epoch [25/50] | Batch 205/509 | d_loss: 0.3689 | g_loss: 5.4226
2023-06-03 22:46:11 | Epoch [25/50] | Batch 210/509 | d_loss: 0.3845 | g_loss: 3.8659
2023-06-03 22:46:12 | Epoch [25/50] | Batch 215/509 | d_loss: 0.4138 | g_loss: 4.3957
2023-06-03 22:46:14 | Epoch [25/50] | Batch 220/509 | d_loss: 0.3639 | g_loss: 3.6174
2023-06-03 22:46:15 | Epoch [25/50] | Batch 225/509 | d_loss: 0.3827 | g_loss: 3.7265
2023-06-03 22:46:17 | Epoch [25/50] | Batch 230/509 | d_loss: 0.4387 | g_loss: 4.3787
2023-06-03 22:46:19 | Epoch [25/50] | Batch 235/509 | d_loss: 0.4458 | g_loss: 4.5325
2023-06-03 22:46:20 | Epoch [25/50] | Batch 240/509 | d_loss: 0.3983 | g_loss: 3.3084
2023-06-03 22:46:22 | Epoch [25/50] | Batch 245/509 | d_loss: 0.3590 | g_loss: 5.3787
2023-06-03 22:46:24 | Epoch [25/50] | Batch 250/509 | d_loss: 0.3645 | g_loss: 6.1847
2023-06-03 22:46:25 | Epoch [25/50] | Batch 255/509 | d_loss: 0.4001 | g_loss: 3.4404
2023-06-03 22:46:27 | Epoch [25/50] | Batch 260/509 | d_loss: 0.3882 | g_loss: 4.0925
2023-06-03 22:46:29 | Epoch [25/50] | Batch 265/509 | d_loss: 0.3578 | g_loss: 6.8367
2023-06-03 22:46:30 | Epoch [25/50] | Batch 270/509 | d_loss: 0.4342 | g_loss: 4.4577
2023-06-03 22:46:32 | Epoch [25/50] | Batch 275/509 | d_loss: 0.5613 | g_loss: 2.5082
2023-06-03 22:46:33 | Epoch [25/50] | Batch 280/509 | d_loss: 3.8416 | g_loss: 6.4899
2023-06-03 22:46:35 | Epoch [25/50] | Batch 285/509 | d_loss: 0.5068 | g_loss: 4.8106
2023-06-03 22:46:37 | Epoch [25/50] | Batch 290/509 | d_loss: 0.5687 | g_loss: 3.4641
2023-06-03 22:46:38 | Epoch [25/50] | Batch 295/509 | d_loss: 0.6480 | g_loss: 2.6941
2023-06-03 22:46:40 | Epoch [25/50] | Batch 300/509 | d_loss: 0.5135 | g_loss: 3.6277
2023-06-03 22:46:42 | Epoch [25/50] | Batch 305/509 | d_loss: 1.6699 | g_loss: 6.6061
2023-06-03 22:46:43 | Epoch [25/50] | Batch 310/509 | d_loss: 0.6393 | g_loss: 3.4930
2023-06-03 22:46:45 | Epoch [25/50] | Batch 315/509 | d_loss: 0.6338 | g_loss: 2.8090
2023-06-03 22:46:47 | Epoch [25/50] | Batch 320/509 | d_loss: 0.5272 | g_loss: 2.6591
2023-06-03 22:46:48 | Epoch [25/50] | Batch 325/509 | d_loss: 0.7487 | g_loss: 3.2073
2023-06-03 22:46:50 | Epoch [25/50] | Batch 330/509 | d_loss: 0.5847 | g_loss: 4.1368
2023-06-03 22:46:51 | Epoch [25/50] | Batch 335/509 | d_loss: 0.5614 | g_loss: 3.4777
2023-06-03 22:46:53 | Epoch [25/50] | Batch 340/509 | d_loss: 0.4920 | g_loss: 4.4234
2023-06-03 22:46:55 | Epoch [25/50] | Batch 345/509 | d_loss: 0.6201 | g_loss: 1.6964
2023-06-03 22:46:56 | Epoch [25/50] | Batch 350/509 | d_loss: 0.4587 | g_loss: 3.8875
2023-06-03 22:46:58 | Epoch [25/50] | Batch 355/509 | d_loss: 0.4294 | g_loss: 3.1640
2023-06-03 22:47:00 | Epoch [25/50] | Batch 360/509 | d_loss: 0.4554 | g_loss: 3.5322
2023-06-03 22:47:01 | Epoch [25/50] | Batch 365/509 | d_loss: 0.4752 | g_loss: 4.7963
2023-06-03 22:47:03 | Epoch [25/50] | Batch 370/509 | d_loss: 0.4336 | g_loss: 3.5808
2023-06-03 22:47:05 | Epoch [25/50] | Batch 375/509 | d_loss: 0.3755 | g_loss: 4.7385
2023-06-03 22:47:06 | Epoch [25/50] | Batch 380/509 | d_loss: 0.7616 | g_loss: 3.8643
2023-06-03 22:47:08 | Epoch [25/50] | Batch 385/509 | d_loss: 1.0044 | g_loss: 4.8252
2023-06-03 22:47:09 | Epoch [25/50] | Batch 390/509 | d_loss: 0.6393 | g_loss: 2.1814
2023-06-03 22:47:11 | Epoch [25/50] | Batch 395/509 | d_loss: 0.4884 | g_loss: 2.5285
2023-06-03 22:47:13 | Epoch [25/50] | Batch 400/509 | d_loss: 0.5384 | g_loss: 3.3279
2023-06-03 22:47:14 | Epoch [25/50] | Batch 405/509 | d_loss: 0.4934 | g_loss: 3.3289
2023-06-03 22:47:16 | Epoch [25/50] | Batch 410/509 | d_loss: 0.6226 | g_loss: 4.2064
2023-06-03 22:47:18 | Epoch [25/50] | Batch 415/509 | d_loss: 0.6028 | g_loss: 4.4764
2023-06-03 22:47:19 | Epoch [25/50] | Batch 420/509 | d_loss: 0.4552 | g_loss: 4.1433
2023-06-03 22:47:21 | Epoch [25/50] | Batch 425/509 | d_loss: 0.8451 | g_loss: 5.1856
2023-06-03 22:47:23 | Epoch [25/50] | Batch 430/509 | d_loss: 0.4501 | g_loss: 3.8326
2023-06-03 22:47:24 | Epoch [25/50] | Batch 435/509 | d_loss: 0.4529 | g_loss: 3.8662
2023-06-03 22:47:26 | Epoch [25/50] | Batch 440/509 | d_loss: 0.4930 | g_loss: 2.4598
2023-06-03 22:47:27 | Epoch [25/50] | Batch 445/509 | d_loss: 0.4541 | g_loss: 4.3566
2023-06-03 22:47:29 | Epoch [25/50] | Batch 450/509 | d_loss: 0.5616 | g_loss: 3.2274
2023-06-03 22:47:31 | Epoch [25/50] | Batch 455/509 | d_loss: 0.5774 | g_loss: 2.8043
2023-06-03 22:47:32 | Epoch [25/50] | Batch 460/509 | d_loss: 0.6070 | g_loss: 2.7021
2023-06-03 22:47:34 | Epoch [25/50] | Batch 465/509 | d_loss: 0.5381 | g_loss: 4.0144
2023-06-03 22:47:36 | Epoch [25/50] | Batch 470/509 | d_loss: 0.3989 | g_loss: 3.7231
2023-06-03 22:47:37 | Epoch [25/50] | Batch 475/509 | d_loss: 0.4619 | g_loss: 3.4634
2023-06-03 22:47:39 | Epoch [25/50] | Batch 480/509 | d_loss: 0.3746 | g_loss: 4.4698
2023-06-03 22:47:41 | Epoch [25/50] | Batch 485/509 | d_loss: 0.4023 | g_loss: 3.8518
2023-06-03 22:47:42 | Epoch [25/50] | Batch 490/509 | d_loss: 0.3729 | g_loss: 5.3803
2023-06-03 22:47:44 | Epoch [25/50] | Batch 495/509 | d_loss: 0.5200 | g_loss: 3.6946
2023-06-03 22:47:45 | Epoch [25/50] | Batch 500/509 | d_loss: 0.3851 | g_loss: 3.6425
2023-06-03 22:47:47 | Epoch [25/50] | Batch 505/509 | d_loss: 0.4047 | g_loss: 3.9039

2023-06-03 22:47:50 | Epoch [26/50] | Batch 0/509 | d_loss: 0.3629 | g_loss: 4.8346
2023-06-03 22:47:51 | Epoch [26/50] | Batch 5/509 | d_loss: 0.3788 | g_loss: 4.4020
2023-06-03 22:47:53 | Epoch [26/50] | Batch 10/509 | d_loss: 0.4128 | g_loss: 3.8834
2023-06-03 22:47:55 | Epoch [26/50] | Batch 15/509 | d_loss: 0.3693 | g_loss: 4.5255
2023-06-03 22:47:56 | Epoch [26/50] | Batch 20/509 | d_loss: 0.4001 | g_loss: 4.2233
2023-06-03 22:47:58 | Epoch [26/50] | Batch 25/509 | d_loss: 0.8905 | g_loss: 6.6554
2023-06-03 22:48:00 | Epoch [26/50] | Batch 30/509 | d_loss: 0.5040 | g_loss: 2.4255
2023-06-03 22:48:01 | Epoch [26/50] | Batch 35/509 | d_loss: 0.3841 | g_loss: 4.2451
2023-06-03 22:48:03 | Epoch [26/50] | Batch 40/509 | d_loss: 0.3993 | g_loss: 3.8679
2023-06-03 22:48:04 | Epoch [26/50] | Batch 45/509 | d_loss: 0.4091 | g_loss: 3.2426
2023-06-03 22:48:06 | Epoch [26/50] | Batch 50/509 | d_loss: 0.3876 | g_loss: 4.1097
2023-06-03 22:48:08 | Epoch [26/50] | Batch 55/509 | d_loss: 0.4937 | g_loss: 3.8683
2023-06-03 22:48:09 | Epoch [26/50] | Batch 60/509 | d_loss: 0.4212 | g_loss: 4.1598
2023-06-03 22:48:11 | Epoch [26/50] | Batch 65/509 | d_loss: 0.3826 | g_loss: 4.8618
2023-06-03 22:48:13 | Epoch [26/50] | Batch 70/509 | d_loss: 0.4217 | g_loss: 4.2089
2023-06-03 22:48:14 | Epoch [26/50] | Batch 75/509 | d_loss: 0.3654 | g_loss: 4.0327
2023-06-03 22:48:16 | Epoch [26/50] | Batch 80/509 | d_loss: 0.3946 | g_loss: 4.4448
2023-06-03 22:48:18 | Epoch [26/50] | Batch 85/509 | d_loss: 0.3601 | g_loss: 4.8193
2023-06-03 22:48:19 | Epoch [26/50] | Batch 90/509 | d_loss: 0.6498 | g_loss: 1.8594
2023-06-03 22:48:21 | Epoch [26/50] | Batch 95/509 | d_loss: 0.5722 | g_loss: 5.2754
2023-06-03 22:48:22 | Epoch [26/50] | Batch 100/509 | d_loss: 0.3601 | g_loss: 5.3444
2023-06-03 22:48:24 | Epoch [26/50] | Batch 105/509 | d_loss: 0.4304 | g_loss: 4.4250
2023-06-03 22:48:26 | Epoch [26/50] | Batch 110/509 | d_loss: 0.3880 | g_loss: 6.8336
2023-06-03 22:48:27 | Epoch [26/50] | Batch 115/509 | d_loss: 0.3543 | g_loss: 5.5839
2023-06-03 22:48:29 | Epoch [26/50] | Batch 120/509 | d_loss: 0.4027 | g_loss: 4.8565
2023-06-03 22:48:31 | Epoch [26/50] | Batch 125/509 | d_loss: 0.3744 | g_loss: 4.6420
2023-06-03 22:48:32 | Epoch [26/50] | Batch 130/509 | d_loss: 0.4646 | g_loss: 4.8669
2023-06-03 22:48:34 | Epoch [26/50] | Batch 135/509 | d_loss: 0.8089 | g_loss: 4.5036
2023-06-03 22:48:36 | Epoch [26/50] | Batch 140/509 | d_loss: 0.4686 | g_loss: 4.3015
2023-06-03 22:48:37 | Epoch [26/50] | Batch 145/509 | d_loss: 0.3827 | g_loss: 3.6007
2023-06-03 22:48:39 | Epoch [26/50] | Batch 150/509 | d_loss: 0.3724 | g_loss: 4.1149
2023-06-03 22:48:41 | Epoch [26/50] | Batch 155/509 | d_loss: 0.5539 | g_loss: 1.3805
2023-06-03 22:48:42 | Epoch [26/50] | Batch 160/509 | d_loss: 0.4747 | g_loss: 4.4667
2023-06-03 22:48:44 | Epoch [26/50] | Batch 165/509 | d_loss: 0.3755 | g_loss: 4.9731
2023-06-03 22:48:45 | Epoch [26/50] | Batch 170/509 | d_loss: 0.4056 | g_loss: 2.5889
2023-06-03 22:48:47 | Epoch [26/50] | Batch 175/509 | d_loss: 0.4275 | g_loss: 4.3962
2023-06-03 22:48:49 | Epoch [26/50] | Batch 180/509 | d_loss: 0.4237 | g_loss: 3.2124
2023-06-03 22:48:50 | Epoch [26/50] | Batch 185/509 | d_loss: 0.3955 | g_loss: 4.6951
2023-06-03 22:48:52 | Epoch [26/50] | Batch 190/509 | d_loss: 0.4401 | g_loss: 5.0076
2023-06-03 22:48:54 | Epoch [26/50] | Batch 195/509 | d_loss: 0.3686 | g_loss: 3.8715
2023-06-03 22:48:55 | Epoch [26/50] | Batch 200/509 | d_loss: 0.3686 | g_loss: 4.5900
2023-06-03 22:48:57 | Epoch [26/50] | Batch 205/509 | d_loss: 0.5088 | g_loss: 3.1791
2023-06-03 22:48:59 | Epoch [26/50] | Batch 210/509 | d_loss: 0.4025 | g_loss: 5.6022
2023-06-03 22:49:00 | Epoch [26/50] | Batch 215/509 | d_loss: 0.4501 | g_loss: 2.6533
2023-06-03 22:49:02 | Epoch [26/50] | Batch 220/509 | d_loss: 0.4229 | g_loss: 4.9449
2023-06-03 22:49:03 | Epoch [26/50] | Batch 225/509 | d_loss: 0.4514 | g_loss: 3.7803
2023-06-03 22:49:05 | Epoch [26/50] | Batch 230/509 | d_loss: 0.4900 | g_loss: 4.5559
2023-06-03 22:49:07 | Epoch [26/50] | Batch 235/509 | d_loss: 0.3498 | g_loss: 4.6083
2023-06-03 22:49:08 | Epoch [26/50] | Batch 240/509 | d_loss: 0.3885 | g_loss: 3.3298
2023-06-03 22:49:10 | Epoch [26/50] | Batch 245/509 | d_loss: 0.3839 | g_loss: 3.7930
2023-06-03 22:49:12 | Epoch [26/50] | Batch 250/509 | d_loss: 0.4343 | g_loss: 3.9644
2023-06-03 22:49:13 | Epoch [26/50] | Batch 255/509 | d_loss: 0.3696 | g_loss: 5.7453
2023-06-03 22:49:15 | Epoch [26/50] | Batch 260/509 | d_loss: 0.3607 | g_loss: 4.9006
2023-06-03 22:49:17 | Epoch [26/50] | Batch 265/509 | d_loss: 0.4119 | g_loss: 3.4544
2023-06-03 22:49:18 | Epoch [26/50] | Batch 270/509 | d_loss: 0.3943 | g_loss: 2.9593
2023-06-03 22:49:20 | Epoch [26/50] | Batch 275/509 | d_loss: 0.3489 | g_loss: 5.9720
2023-06-03 22:49:21 | Epoch [26/50] | Batch 280/509 | d_loss: 2.0648 | g_loss: 0.8606
2023-06-03 22:49:23 | Epoch [26/50] | Batch 285/509 | d_loss: 1.4421 | g_loss: 5.5438
2023-06-03 22:49:25 | Epoch [26/50] | Batch 290/509 | d_loss: 0.5569 | g_loss: 2.7179
2023-06-03 22:49:26 | Epoch [26/50] | Batch 295/509 | d_loss: 0.8361 | g_loss: 1.7007
2023-06-03 22:49:28 | Epoch [26/50] | Batch 300/509 | d_loss: 0.5999 | g_loss: 2.4082
2023-06-03 22:49:30 | Epoch [26/50] | Batch 305/509 | d_loss: 0.7365 | g_loss: 2.0862
2023-06-03 22:49:31 | Epoch [26/50] | Batch 310/509 | d_loss: 0.5178 | g_loss: 4.1788
2023-06-03 22:49:33 | Epoch [26/50] | Batch 315/509 | d_loss: 0.4951 | g_loss: 2.7265
2023-06-03 22:49:35 | Epoch [26/50] | Batch 320/509 | d_loss: 0.7389 | g_loss: 3.0657
2023-06-03 22:49:36 | Epoch [26/50] | Batch 325/509 | d_loss: 0.6165 | g_loss: 3.8097
2023-06-03 22:49:38 | Epoch [26/50] | Batch 330/509 | d_loss: 0.4604 | g_loss: 3.9789
2023-06-03 22:49:40 | Epoch [26/50] | Batch 335/509 | d_loss: 0.5392 | g_loss: 4.5162
2023-06-03 22:49:41 | Epoch [26/50] | Batch 340/509 | d_loss: 0.4728 | g_loss: 2.5853
2023-06-03 22:49:43 | Epoch [26/50] | Batch 345/509 | d_loss: 0.4884 | g_loss: 4.5463
2023-06-03 22:49:44 | Epoch [26/50] | Batch 350/509 | d_loss: 0.6336 | g_loss: 3.0736
2023-06-03 22:49:46 | Epoch [26/50] | Batch 355/509 | d_loss: 0.3963 | g_loss: 3.5088
2023-06-03 22:49:48 | Epoch [26/50] | Batch 360/509 | d_loss: 0.4370 | g_loss: 4.1014
2023-06-03 22:49:49 | Epoch [26/50] | Batch 365/509 | d_loss: 0.4702 | g_loss: 3.2649
2023-06-03 22:49:51 | Epoch [26/50] | Batch 370/509 | d_loss: 0.4087 | g_loss: 3.9304
2023-06-03 22:49:53 | Epoch [26/50] | Batch 375/509 | d_loss: 0.4426 | g_loss: 3.0137
2023-06-03 22:49:54 | Epoch [26/50] | Batch 380/509 | d_loss: 0.4483 | g_loss: 3.0747
2023-06-03 22:49:56 | Epoch [26/50] | Batch 385/509 | d_loss: 0.4297 | g_loss: 3.7554
2023-06-03 22:49:58 | Epoch [26/50] | Batch 390/509 | d_loss: 0.5683 | g_loss: 4.4799
2023-06-03 22:49:59 | Epoch [26/50] | Batch 395/509 | d_loss: 0.3884 | g_loss: 4.3161
2023-06-03 22:50:01 | Epoch [26/50] | Batch 400/509 | d_loss: 0.4207 | g_loss: 3.8640
2023-06-03 22:50:02 | Epoch [26/50] | Batch 405/509 | d_loss: 0.3787 | g_loss: 3.9260
2023-06-03 22:50:04 | Epoch [26/50] | Batch 410/509 | d_loss: 0.3914 | g_loss: 5.0143
2023-06-03 22:50:06 | Epoch [26/50] | Batch 415/509 | d_loss: 0.4682 | g_loss: 3.7536
2023-06-03 22:50:07 | Epoch [26/50] | Batch 420/509 | d_loss: 0.3746 | g_loss: 4.1305
2023-06-03 22:50:09 | Epoch [26/50] | Batch 425/509 | d_loss: 0.3646 | g_loss: 4.1047
2023-06-03 22:50:11 | Epoch [26/50] | Batch 430/509 | d_loss: 0.3915 | g_loss: 4.8120
2023-06-03 22:50:12 | Epoch [26/50] | Batch 435/509 | d_loss: 0.3858 | g_loss: 4.3419
2023-06-03 22:50:14 | Epoch [26/50] | Batch 440/509 | d_loss: 0.3947 | g_loss: 3.2137
2023-06-03 22:50:16 | Epoch [26/50] | Batch 445/509 | d_loss: 0.3962 | g_loss: 4.5032
2023-06-03 22:50:17 | Epoch [26/50] | Batch 450/509 | d_loss: 0.4824 | g_loss: 2.5557
2023-06-03 22:50:19 | Epoch [26/50] | Batch 455/509 | d_loss: 0.3885 | g_loss: 4.2258
2023-06-03 22:50:21 | Epoch [26/50] | Batch 460/509 | d_loss: 0.4278 | g_loss: 4.0480
2023-06-03 22:50:22 | Epoch [26/50] | Batch 465/509 | d_loss: 0.3721 | g_loss: 4.6783
2023-06-03 22:50:24 | Epoch [26/50] | Batch 470/509 | d_loss: 0.4042 | g_loss: 3.7540
2023-06-03 22:50:25 | Epoch [26/50] | Batch 475/509 | d_loss: 0.3895 | g_loss: 3.9974
2023-06-03 22:50:27 | Epoch [26/50] | Batch 480/509 | d_loss: 0.3875 | g_loss: 3.9276
2023-06-03 22:50:29 | Epoch [26/50] | Batch 485/509 | d_loss: 0.4497 | g_loss: 5.1750
2023-06-03 22:50:30 | Epoch [26/50] | Batch 490/509 | d_loss: 0.4254 | g_loss: 3.1525
2023-06-03 22:50:32 | Epoch [26/50] | Batch 495/509 | d_loss: 0.4103 | g_loss: 3.0290
2023-06-03 22:50:34 | Epoch [26/50] | Batch 500/509 | d_loss: 0.3698 | g_loss: 4.8531
2023-06-03 22:50:35 | Epoch [26/50] | Batch 505/509 | d_loss: 0.4462 | g_loss: 4.6067

2023-06-03 22:50:38 | Epoch [27/50] | Batch 0/509 | d_loss: 0.3594 | g_loss: 4.1481
2023-06-03 22:50:39 | Epoch [27/50] | Batch 5/509 | d_loss: 0.3601 | g_loss: 4.7239
2023-06-03 22:50:41 | Epoch [27/50] | Batch 10/509 | d_loss: 1.3477 | g_loss: 9.4124
2023-06-03 22:50:43 | Epoch [27/50] | Batch 15/509 | d_loss: 0.6787 | g_loss: 2.1496
2023-06-03 22:50:44 | Epoch [27/50] | Batch 20/509 | d_loss: 0.4008 | g_loss: 4.0180
2023-06-03 22:50:46 | Epoch [27/50] | Batch 25/509 | d_loss: 0.3898 | g_loss: 3.8762
2023-06-03 22:50:48 | Epoch [27/50] | Batch 30/509 | d_loss: 0.4216 | g_loss: 6.0507
2023-06-03 22:50:49 | Epoch [27/50] | Batch 35/509 | d_loss: 0.4709 | g_loss: 3.8625
2023-06-03 22:50:51 | Epoch [27/50] | Batch 40/509 | d_loss: 0.5023 | g_loss: 2.4139
2023-06-03 22:50:52 | Epoch [27/50] | Batch 45/509 | d_loss: 0.4044 | g_loss: 4.5486
2023-06-03 22:50:54 | Epoch [27/50] | Batch 50/509 | d_loss: 0.3562 | g_loss: 4.4591
2023-06-03 22:50:56 | Epoch [27/50] | Batch 55/509 | d_loss: 0.4174 | g_loss: 4.0183
2023-06-03 22:50:57 | Epoch [27/50] | Batch 60/509 | d_loss: 0.3663 | g_loss: 4.9036
2023-06-03 22:50:59 | Epoch [27/50] | Batch 65/509 | d_loss: 0.3824 | g_loss: 4.1403
2023-06-03 22:51:01 | Epoch [27/50] | Batch 70/509 | d_loss: 0.3661 | g_loss: 4.1659
2023-06-03 22:51:02 | Epoch [27/50] | Batch 75/509 | d_loss: 0.4373 | g_loss: 5.1625
2023-06-03 22:51:04 | Epoch [27/50] | Batch 80/509 | d_loss: 0.4827 | g_loss: 3.2725
2023-06-03 22:51:06 | Epoch [27/50] | Batch 85/509 | d_loss: 0.5157 | g_loss: 2.7269
2023-06-03 22:51:07 | Epoch [27/50] | Batch 90/509 | d_loss: 0.4694 | g_loss: 4.1637
2023-06-03 22:51:09 | Epoch [27/50] | Batch 95/509 | d_loss: 0.3884 | g_loss: 5.2166
2023-06-03 22:51:10 | Epoch [27/50] | Batch 100/509 | d_loss: 0.5849 | g_loss: 1.6485
2023-06-03 22:51:12 | Epoch [27/50] | Batch 105/509 | d_loss: 0.3826 | g_loss: 5.2541
2023-06-03 22:51:14 | Epoch [27/50] | Batch 110/509 | d_loss: 0.4273 | g_loss: 2.8588
2023-06-03 22:51:15 | Epoch [27/50] | Batch 115/509 | d_loss: 0.3630 | g_loss: 4.7128
2023-06-03 22:51:17 | Epoch [27/50] | Batch 120/509 | d_loss: 0.4012 | g_loss: 3.0245
2023-06-03 22:51:19 | Epoch [27/50] | Batch 125/509 | d_loss: 0.4241 | g_loss: 3.2445
2023-06-03 22:51:20 | Epoch [27/50] | Batch 130/509 | d_loss: 0.3580 | g_loss: 5.3488
2023-06-03 22:51:22 | Epoch [27/50] | Batch 135/509 | d_loss: 0.4354 | g_loss: 2.4338
2023-06-03 22:51:24 | Epoch [27/50] | Batch 140/509 | d_loss: 0.5299 | g_loss: 4.1179
2023-06-03 22:51:25 | Epoch [27/50] | Batch 145/509 | d_loss: 0.3963 | g_loss: 4.9314
2023-06-03 22:51:27 | Epoch [27/50] | Batch 150/509 | d_loss: 0.3767 | g_loss: 4.9374
2023-06-03 22:51:28 | Epoch [27/50] | Batch 155/509 | d_loss: 0.3646 | g_loss: 4.9494
2023-06-03 22:51:30 | Epoch [27/50] | Batch 160/509 | d_loss: 0.4018 | g_loss: 4.5570
2023-06-03 22:51:32 | Epoch [27/50] | Batch 165/509 | d_loss: 0.4349 | g_loss: 3.5339
2023-06-03 22:51:33 | Epoch [27/50] | Batch 170/509 | d_loss: 0.3633 | g_loss: 4.7049
2023-06-03 22:51:35 | Epoch [27/50] | Batch 175/509 | d_loss: 0.4597 | g_loss: 2.8712
2023-06-03 22:51:37 | Epoch [27/50] | Batch 180/509 | d_loss: 0.4943 | g_loss: 3.6350
2023-06-03 22:51:38 | Epoch [27/50] | Batch 185/509 | d_loss: 0.4017 | g_loss: 4.3054
2023-06-03 22:51:40 | Epoch [27/50] | Batch 190/509 | d_loss: 0.3617 | g_loss: 4.8874
2023-06-03 22:51:42 | Epoch [27/50] | Batch 195/509 | d_loss: 0.3657 | g_loss: 4.2485
2023-06-03 22:51:43 | Epoch [27/50] | Batch 200/509 | d_loss: 0.4740 | g_loss: 3.2140
2023-06-03 22:51:45 | Epoch [27/50] | Batch 205/509 | d_loss: 0.4751 | g_loss: 5.5642
2023-06-03 22:51:46 | Epoch [27/50] | Batch 210/509 | d_loss: 0.3594 | g_loss: 4.0115
2023-06-03 22:51:48 | Epoch [27/50] | Batch 215/509 | d_loss: 0.3505 | g_loss: 5.9514
2023-06-03 22:51:50 | Epoch [27/50] | Batch 220/509 | d_loss: 0.5120 | g_loss: 5.5405
2023-06-03 22:51:51 | Epoch [27/50] | Batch 225/509 | d_loss: 0.3671 | g_loss: 3.1146
2023-06-03 22:51:53 | Epoch [27/50] | Batch 230/509 | d_loss: 0.3722 | g_loss: 4.7992
2023-06-03 22:51:55 | Epoch [27/50] | Batch 235/509 | d_loss: 0.3585 | g_loss: 3.9690
2023-06-03 22:51:56 | Epoch [27/50] | Batch 240/509 | d_loss: 0.3820 | g_loss: 4.3186
2023-06-03 22:51:58 | Epoch [27/50] | Batch 245/509 | d_loss: 0.3920 | g_loss: 3.5837
2023-06-03 22:52:00 | Epoch [27/50] | Batch 250/509 | d_loss: 0.3572 | g_loss: 5.7375
2023-06-03 22:52:01 | Epoch [27/50] | Batch 255/509 | d_loss: 0.3775 | g_loss: 3.4961
2023-06-03 22:52:03 | Epoch [27/50] | Batch 260/509 | d_loss: 0.3499 | g_loss: 5.4243
2023-06-03 22:52:05 | Epoch [27/50] | Batch 265/509 | d_loss: 0.6552 | g_loss: 5.7026
2023-06-03 22:52:06 | Epoch [27/50] | Batch 270/509 | d_loss: 0.5252 | g_loss: 2.6554
2023-06-03 22:52:08 | Epoch [27/50] | Batch 275/509 | d_loss: 0.3603 | g_loss: 4.3994
2023-06-03 22:52:09 | Epoch [27/50] | Batch 280/509 | d_loss: 0.5239 | g_loss: 5.3602
2023-06-03 22:52:11 | Epoch [27/50] | Batch 285/509 | d_loss: 0.5244 | g_loss: 3.3287
2023-06-03 22:52:13 | Epoch [27/50] | Batch 290/509 | d_loss: 0.5271 | g_loss: 2.7066
2023-06-03 22:52:14 | Epoch [27/50] | Batch 295/509 | d_loss: 0.3960 | g_loss: 3.7448
2023-06-03 22:52:16 | Epoch [27/50] | Batch 300/509 | d_loss: 0.3787 | g_loss: 4.6827
2023-06-03 22:52:18 | Epoch [27/50] | Batch 305/509 | d_loss: 0.4048 | g_loss: 3.1658
2023-06-03 22:52:19 | Epoch [27/50] | Batch 310/509 | d_loss: 0.4607 | g_loss: 2.8336
2023-06-03 22:52:21 | Epoch [27/50] | Batch 315/509 | d_loss: 0.3591 | g_loss: 4.9868
2023-06-03 22:52:23 | Epoch [27/50] | Batch 320/509 | d_loss: 0.4517 | g_loss: 4.8657
2023-06-03 22:52:24 | Epoch [27/50] | Batch 325/509 | d_loss: 0.3541 | g_loss: 5.1798
2023-06-03 22:52:26 | Epoch [27/50] | Batch 330/509 | d_loss: 0.4877 | g_loss: 4.3939
2023-06-03 22:52:27 | Epoch [27/50] | Batch 335/509 | d_loss: 0.3951 | g_loss: 4.5254
2023-06-03 22:52:29 | Epoch [27/50] | Batch 340/509 | d_loss: 0.3739 | g_loss: 4.5534
2023-06-03 22:52:31 | Epoch [27/50] | Batch 345/509 | d_loss: 0.3632 | g_loss: 4.8608
2023-06-03 22:52:32 | Epoch [27/50] | Batch 350/509 | d_loss: 0.4125 | g_loss: 4.3567
2023-06-03 22:52:34 | Epoch [27/50] | Batch 355/509 | d_loss: 0.3963 | g_loss: 4.6495
2023-06-03 22:52:36 | Epoch [27/50] | Batch 360/509 | d_loss: 0.3858 | g_loss: 4.7186
2023-06-03 22:52:37 | Epoch [27/50] | Batch 365/509 | d_loss: 0.4053 | g_loss: 4.1405
2023-06-03 22:52:39 | Epoch [27/50] | Batch 370/509 | d_loss: 0.3682 | g_loss: 5.0841
2023-06-03 22:52:41 | Epoch [27/50] | Batch 375/509 | d_loss: 0.4109 | g_loss: 4.1510
2023-06-03 22:52:42 | Epoch [27/50] | Batch 380/509 | d_loss: 0.4107 | g_loss: 6.0005
2023-06-03 22:52:44 | Epoch [27/50] | Batch 385/509 | d_loss: 0.3680 | g_loss: 4.5321
2023-06-03 22:52:45 | Epoch [27/50] | Batch 390/509 | d_loss: 0.3569 | g_loss: 5.7240
2023-06-03 22:52:47 | Epoch [27/50] | Batch 395/509 | d_loss: 0.4884 | g_loss: 2.1161
2023-06-03 22:52:49 | Epoch [27/50] | Batch 400/509 | d_loss: 0.3442 | g_loss: 6.5059
2023-06-03 22:52:50 | Epoch [27/50] | Batch 405/509 | d_loss: 0.4304 | g_loss: 2.8195
2023-06-03 22:52:52 | Epoch [27/50] | Batch 410/509 | d_loss: 0.3712 | g_loss: 4.1640
2023-06-03 22:52:54 | Epoch [27/50] | Batch 415/509 | d_loss: 0.3423 | g_loss: 4.9158
2023-06-03 22:52:55 | Epoch [27/50] | Batch 420/509 | d_loss: 0.3659 | g_loss: 4.8112
2023-06-03 22:52:57 | Epoch [27/50] | Batch 425/509 | d_loss: 0.3673 | g_loss: 3.5673
2023-06-03 22:52:59 | Epoch [27/50] | Batch 430/509 | d_loss: 0.3858 | g_loss: 4.5997
2023-06-03 22:53:00 | Epoch [27/50] | Batch 435/509 | d_loss: 0.3662 | g_loss: 4.9419
2023-06-03 22:53:02 | Epoch [27/50] | Batch 440/509 | d_loss: 0.7704 | g_loss: 7.4660
2023-06-03 22:53:03 | Epoch [27/50] | Batch 445/509 | d_loss: 3.4550 | g_loss: 8.4861
2023-06-03 22:53:05 | Epoch [27/50] | Batch 450/509 | d_loss: 0.7455 | g_loss: 5.0268
2023-06-03 22:53:07 | Epoch [27/50] | Batch 455/509 | d_loss: 0.5014 | g_loss: 3.1264
2023-06-03 22:53:08 | Epoch [27/50] | Batch 460/509 | d_loss: 0.6795 | g_loss: 1.9066
2023-06-03 22:53:10 | Epoch [27/50] | Batch 465/509 | d_loss: 0.5220 | g_loss: 3.3784
2023-06-03 22:53:12 | Epoch [27/50] | Batch 470/509 | d_loss: 0.5452 | g_loss: 3.6022
2023-06-03 22:53:13 | Epoch [27/50] | Batch 475/509 | d_loss: 0.4445 | g_loss: 3.6802
2023-06-03 22:53:15 | Epoch [27/50] | Batch 480/509 | d_loss: 0.5046 | g_loss: 1.9438
2023-06-03 22:53:17 | Epoch [27/50] | Batch 485/509 | d_loss: 0.5407 | g_loss: 2.5214
2023-06-03 22:53:18 | Epoch [27/50] | Batch 490/509 | d_loss: 0.5122 | g_loss: 3.1675
2023-06-03 22:53:20 | Epoch [27/50] | Batch 495/509 | d_loss: 0.4361 | g_loss: 4.0477
2023-06-03 22:53:21 | Epoch [27/50] | Batch 500/509 | d_loss: 0.3978 | g_loss: 4.6801
2023-06-03 22:53:23 | Epoch [27/50] | Batch 505/509 | d_loss: 0.4043 | g_loss: 3.7679

2023-06-03 22:53:25 | Epoch [28/50] | Batch 0/509 | d_loss: 0.3733 | g_loss: 4.7158
2023-06-03 22:53:27 | Epoch [28/50] | Batch 5/509 | d_loss: 0.3874 | g_loss: 4.9384
2023-06-03 22:53:29 | Epoch [28/50] | Batch 10/509 | d_loss: 0.3893 | g_loss: 4.0550
2023-06-03 22:53:30 | Epoch [28/50] | Batch 15/509 | d_loss: 0.3812 | g_loss: 3.7751
2023-06-03 22:53:32 | Epoch [28/50] | Batch 20/509 | d_loss: 0.3848 | g_loss: 4.3727
2023-06-03 22:53:34 | Epoch [28/50] | Batch 25/509 | d_loss: 0.3635 | g_loss: 4.7984
2023-06-03 22:53:35 | Epoch [28/50] | Batch 30/509 | d_loss: 0.3795 | g_loss: 4.3791
2023-06-03 22:53:37 | Epoch [28/50] | Batch 35/509 | d_loss: 0.4401 | g_loss: 3.6867
2023-06-03 22:53:39 | Epoch [28/50] | Batch 40/509 | d_loss: 0.4189 | g_loss: 4.1780
2023-06-03 22:53:40 | Epoch [28/50] | Batch 45/509 | d_loss: 0.5424 | g_loss: 4.5838
2023-06-03 22:53:42 | Epoch [28/50] | Batch 50/509 | d_loss: 0.3978 | g_loss: 3.7152
2023-06-03 22:53:44 | Epoch [28/50] | Batch 55/509 | d_loss: 0.4595 | g_loss: 4.1449
2023-06-03 22:53:45 | Epoch [28/50] | Batch 60/509 | d_loss: 0.3725 | g_loss: 6.9189
2023-06-03 22:53:47 | Epoch [28/50] | Batch 65/509 | d_loss: 0.4090 | g_loss: 3.2956
2023-06-03 22:53:48 | Epoch [28/50] | Batch 70/509 | d_loss: 0.3675 | g_loss: 4.3988
2023-06-03 22:53:50 | Epoch [28/50] | Batch 75/509 | d_loss: 0.3526 | g_loss: 4.8839
2023-06-03 22:53:52 | Epoch [28/50] | Batch 80/509 | d_loss: 0.3722 | g_loss: 4.1633
2023-06-03 22:53:53 | Epoch [28/50] | Batch 85/509 | d_loss: 0.5265 | g_loss: 5.4784
2023-06-03 22:53:55 | Epoch [28/50] | Batch 90/509 | d_loss: 0.4813 | g_loss: 2.6090
2023-06-03 22:53:57 | Epoch [28/50] | Batch 95/509 | d_loss: 0.3743 | g_loss: 4.5072
2023-06-03 22:53:58 | Epoch [28/50] | Batch 100/509 | d_loss: 0.3893 | g_loss: 5.0509
2023-06-03 22:54:00 | Epoch [28/50] | Batch 105/509 | d_loss: 0.3865 | g_loss: 4.9697
2023-06-03 22:54:02 | Epoch [28/50] | Batch 110/509 | d_loss: 0.3689 | g_loss: 5.5612
2023-06-03 22:54:03 | Epoch [28/50] | Batch 115/509 | d_loss: 0.4339 | g_loss: 3.7757
2023-06-03 22:54:05 | Epoch [28/50] | Batch 120/509 | d_loss: 0.3833 | g_loss: 4.5064
2023-06-03 22:54:07 | Epoch [28/50] | Batch 125/509 | d_loss: 0.3652 | g_loss: 4.4207
2023-06-03 22:54:08 | Epoch [28/50] | Batch 130/509 | d_loss: 0.4167 | g_loss: 3.6536
2023-06-03 22:54:10 | Epoch [28/50] | Batch 135/509 | d_loss: 0.3798 | g_loss: 4.3261
2023-06-03 22:54:11 | Epoch [28/50] | Batch 140/509 | d_loss: 0.3641 | g_loss: 4.0410
2023-06-03 22:54:13 | Epoch [28/50] | Batch 145/509 | d_loss: 0.3596 | g_loss: 4.7676
2023-06-03 22:54:15 | Epoch [28/50] | Batch 150/509 | d_loss: 0.3703 | g_loss: 4.2030
2023-06-03 22:54:16 | Epoch [28/50] | Batch 155/509 | d_loss: 0.3590 | g_loss: 3.9185
2023-06-03 22:54:18 | Epoch [28/50] | Batch 160/509 | d_loss: 0.3544 | g_loss: 4.6090
2023-06-03 22:54:20 | Epoch [28/50] | Batch 165/509 | d_loss: 0.5450 | g_loss: 5.4232
2023-06-03 22:54:21 | Epoch [28/50] | Batch 170/509 | d_loss: 0.3671 | g_loss: 4.6949
2023-06-03 22:54:23 | Epoch [28/50] | Batch 175/509 | d_loss: 0.4060 | g_loss: 3.8569
2023-06-03 22:54:25 | Epoch [28/50] | Batch 180/509 | d_loss: 0.3512 | g_loss: 4.8877
2023-06-03 22:54:26 | Epoch [28/50] | Batch 185/509 | d_loss: 0.5123 | g_loss: 5.6976
2023-06-03 22:54:28 | Epoch [28/50] | Batch 190/509 | d_loss: 0.7013 | g_loss: 1.8138
2023-06-03 22:54:30 | Epoch [28/50] | Batch 195/509 | d_loss: 0.5499 | g_loss: 5.3823
2023-06-03 22:54:31 | Epoch [28/50] | Batch 200/509 | d_loss: 0.3912 | g_loss: 5.0203
2023-06-03 22:54:33 | Epoch [28/50] | Batch 205/509 | d_loss: 0.3559 | g_loss: 4.4769
2023-06-03 22:54:34 | Epoch [28/50] | Batch 210/509 | d_loss: 0.4100 | g_loss: 4.2160
2023-06-03 22:54:36 | Epoch [28/50] | Batch 215/509 | d_loss: 0.3519 | g_loss: 6.8888
2023-06-03 22:54:38 | Epoch [28/50] | Batch 220/509 | d_loss: 0.3939 | g_loss: 4.3106
2023-06-03 22:54:39 | Epoch [28/50] | Batch 225/509 | d_loss: 0.3646 | g_loss: 7.7072
2023-06-03 22:54:41 | Epoch [28/50] | Batch 230/509 | d_loss: 0.3788 | g_loss: 2.9799
2023-06-03 22:54:43 | Epoch [28/50] | Batch 235/509 | d_loss: 0.3576 | g_loss: 4.5219
2023-06-03 22:54:44 | Epoch [28/50] | Batch 240/509 | d_loss: 0.3753 | g_loss: 4.8783
2023-06-03 22:54:46 | Epoch [28/50] | Batch 245/509 | d_loss: 0.3816 | g_loss: 4.4819
2023-06-03 22:54:48 | Epoch [28/50] | Batch 250/509 | d_loss: 0.3589 | g_loss: 5.1480
2023-06-03 22:54:49 | Epoch [28/50] | Batch 255/509 | d_loss: 0.3640 | g_loss: 4.0135
2023-06-03 22:54:51 | Epoch [28/50] | Batch 260/509 | d_loss: 0.3538 | g_loss: 4.9970
2023-06-03 22:54:52 | Epoch [28/50] | Batch 265/509 | d_loss: 0.4325 | g_loss: 3.8902
2023-06-03 22:54:54 | Epoch [28/50] | Batch 270/509 | d_loss: 0.3943 | g_loss: 3.7772
2023-06-03 22:54:56 | Epoch [28/50] | Batch 275/509 | d_loss: 0.3614 | g_loss: 4.3884
2023-06-03 22:54:57 | Epoch [28/50] | Batch 280/509 | d_loss: 0.3912 | g_loss: 5.0514
2023-06-03 22:54:59 | Epoch [28/50] | Batch 285/509 | d_loss: 0.3742 | g_loss: 3.7129
2023-06-03 22:55:01 | Epoch [28/50] | Batch 290/509 | d_loss: 0.3527 | g_loss: 5.3295
2023-06-03 22:55:02 | Epoch [28/50] | Batch 295/509 | d_loss: 0.3400 | g_loss: 5.6330
2023-06-03 22:55:04 | Epoch [28/50] | Batch 300/509 | d_loss: 0.3882 | g_loss: 3.7542
2023-06-03 22:55:06 | Epoch [28/50] | Batch 305/509 | d_loss: 0.4088 | g_loss: 2.5631
2023-06-03 22:55:07 | Epoch [28/50] | Batch 310/509 | d_loss: 0.3785 | g_loss: 4.0075
2023-06-03 22:55:09 | Epoch [28/50] | Batch 315/509 | d_loss: 0.4012 | g_loss: 4.8819
2023-06-03 22:55:11 | Epoch [28/50] | Batch 320/509 | d_loss: 0.3489 | g_loss: 5.4585
2023-06-03 22:55:12 | Epoch [28/50] | Batch 325/509 | d_loss: 0.3692 | g_loss: 4.7968
2023-06-03 22:55:14 | Epoch [28/50] | Batch 330/509 | d_loss: 0.3744 | g_loss: 4.5275
2023-06-03 22:55:15 | Epoch [28/50] | Batch 335/509 | d_loss: 0.3774 | g_loss: 5.0776
2023-06-03 22:55:17 | Epoch [28/50] | Batch 340/509 | d_loss: 0.3699 | g_loss: 4.0158
2023-06-03 22:55:19 | Epoch [28/50] | Batch 345/509 | d_loss: 0.3639 | g_loss: 5.2907
2023-06-03 22:55:20 | Epoch [28/50] | Batch 350/509 | d_loss: 0.3710 | g_loss: 4.0697
2023-06-03 22:55:22 | Epoch [28/50] | Batch 355/509 | d_loss: 0.7101 | g_loss: 4.3762
2023-06-03 22:55:24 | Epoch [28/50] | Batch 360/509 | d_loss: 0.8032 | g_loss: 4.6931
2023-06-03 22:55:25 | Epoch [28/50] | Batch 365/509 | d_loss: 0.4681 | g_loss: 3.1844
2023-06-03 22:55:27 | Epoch [28/50] | Batch 370/509 | d_loss: 0.5528 | g_loss: 3.6230
2023-06-03 22:55:29 | Epoch [28/50] | Batch 375/509 | d_loss: 0.4935 | g_loss: 3.3678
2023-06-03 22:55:30 | Epoch [28/50] | Batch 380/509 | d_loss: 0.4219 | g_loss: 3.8535
2023-06-03 22:55:32 | Epoch [28/50] | Batch 385/509 | d_loss: 0.5452 | g_loss: 3.4268
2023-06-03 22:55:34 | Epoch [28/50] | Batch 390/509 | d_loss: 0.8161 | g_loss: 6.4827
2023-06-03 22:55:35 | Epoch [28/50] | Batch 395/509 | d_loss: 0.4253 | g_loss: 4.1118
2023-06-03 22:55:37 | Epoch [28/50] | Batch 400/509 | d_loss: 0.5194 | g_loss: 3.4702
2023-06-03 22:55:38 | Epoch [28/50] | Batch 405/509 | d_loss: 0.4248 | g_loss: 4.2238
2023-06-03 22:55:40 | Epoch [28/50] | Batch 410/509 | d_loss: 0.4385 | g_loss: 2.9775
2023-06-03 22:55:42 | Epoch [28/50] | Batch 415/509 | d_loss: 0.4261 | g_loss: 4.3245
2023-06-03 22:55:43 | Epoch [28/50] | Batch 420/509 | d_loss: 0.5185 | g_loss: 2.7184
2023-06-03 22:55:45 | Epoch [28/50] | Batch 425/509 | d_loss: 0.4281 | g_loss: 3.6547
2023-06-03 22:55:47 | Epoch [28/50] | Batch 430/509 | d_loss: 1.1289 | g_loss: 7.4184
2023-06-03 22:55:48 | Epoch [28/50] | Batch 435/509 | d_loss: 0.4180 | g_loss: 4.8845
2023-06-03 22:55:50 | Epoch [28/50] | Batch 440/509 | d_loss: 0.4356 | g_loss: 4.2541
2023-06-03 22:55:52 | Epoch [28/50] | Batch 445/509 | d_loss: 0.3942 | g_loss: 3.2189
2023-06-03 22:55:53 | Epoch [28/50] | Batch 450/509 | d_loss: 0.4567 | g_loss: 2.9088
2023-06-03 22:55:55 | Epoch [28/50] | Batch 455/509 | d_loss: 0.3714 | g_loss: 4.8003
2023-06-03 22:55:56 | Epoch [28/50] | Batch 460/509 | d_loss: 0.4164 | g_loss: 3.8889
2023-06-03 22:55:58 | Epoch [28/50] | Batch 465/509 | d_loss: 0.4738 | g_loss: 4.8020
2023-06-03 22:56:00 | Epoch [28/50] | Batch 470/509 | d_loss: 0.6981 | g_loss: 4.9735
2023-06-03 22:56:01 | Epoch [28/50] | Batch 475/509 | d_loss: 0.3942 | g_loss: 3.7878
2023-06-03 22:56:03 | Epoch [28/50] | Batch 480/509 | d_loss: 0.3800 | g_loss: 4.1005
2023-06-03 22:56:05 | Epoch [28/50] | Batch 485/509 | d_loss: 0.3703 | g_loss: 4.2512
2023-06-03 22:56:06 | Epoch [28/50] | Batch 490/509 | d_loss: 0.3665 | g_loss: 3.9070
2023-06-03 22:56:08 | Epoch [28/50] | Batch 495/509 | d_loss: 0.4016 | g_loss: 5.0498
2023-06-03 22:56:10 | Epoch [28/50] | Batch 500/509 | d_loss: 0.3533 | g_loss: 4.4921
2023-06-03 22:56:11 | Epoch [28/50] | Batch 505/509 | d_loss: 0.4457 | g_loss: 4.5920

2023-06-03 22:56:14 | Epoch [29/50] | Batch 0/509 | d_loss: 0.3817 | g_loss: 5.5472
2023-06-03 22:56:15 | Epoch [29/50] | Batch 5/509 | d_loss: 0.4297 | g_loss: 3.9801
2023-06-03 22:56:17 | Epoch [29/50] | Batch 10/509 | d_loss: 0.4099 | g_loss: 4.1047
2023-06-03 22:56:19 | Epoch [29/50] | Batch 15/509 | d_loss: 0.4010 | g_loss: 3.4954
2023-06-03 22:56:20 | Epoch [29/50] | Batch 20/509 | d_loss: 0.3776 | g_loss: 5.0064
2023-06-03 22:56:22 | Epoch [29/50] | Batch 25/509 | d_loss: 0.3766 | g_loss: 4.3252
2023-06-03 22:56:24 | Epoch [29/50] | Batch 30/509 | d_loss: 0.3461 | g_loss: 5.8989
2023-06-03 22:56:25 | Epoch [29/50] | Batch 35/509 | d_loss: 0.4792 | g_loss: 4.0567
2023-06-03 22:56:27 | Epoch [29/50] | Batch 40/509 | d_loss: 0.5630 | g_loss: 3.5577
2023-06-03 22:56:29 | Epoch [29/50] | Batch 45/509 | d_loss: 0.4847 | g_loss: 4.7778
2023-06-03 22:56:30 | Epoch [29/50] | Batch 50/509 | d_loss: 0.5336 | g_loss: 2.5203
2023-06-03 22:56:32 | Epoch [29/50] | Batch 55/509 | d_loss: 0.4066 | g_loss: 4.3881
2023-06-03 22:56:33 | Epoch [29/50] | Batch 60/509 | d_loss: 0.4019 | g_loss: 3.4458
2023-06-03 22:56:35 | Epoch [29/50] | Batch 65/509 | d_loss: 0.3896 | g_loss: 4.8016
2023-06-03 22:56:37 | Epoch [29/50] | Batch 70/509 | d_loss: 0.5107 | g_loss: 4.6053
2023-06-03 22:56:38 | Epoch [29/50] | Batch 75/509 | d_loss: 0.3981 | g_loss: 3.4784
2023-06-03 22:56:40 | Epoch [29/50] | Batch 80/509 | d_loss: 0.3782 | g_loss: 4.7871
2023-06-03 22:56:42 | Epoch [29/50] | Batch 85/509 | d_loss: 0.3965 | g_loss: 5.0233
2023-06-03 22:56:43 | Epoch [29/50] | Batch 90/509 | d_loss: 0.4208 | g_loss: 4.6437
2023-06-03 22:56:45 | Epoch [29/50] | Batch 95/509 | d_loss: 0.3874 | g_loss: 4.3444
2023-06-03 22:56:47 | Epoch [29/50] | Batch 100/509 | d_loss: 0.3782 | g_loss: 6.0685
2023-06-03 22:56:48 | Epoch [29/50] | Batch 105/509 | d_loss: 0.3908 | g_loss: 3.7249
2023-06-03 22:56:50 | Epoch [29/50] | Batch 110/509 | d_loss: 0.3520 | g_loss: 5.2292
2023-06-03 22:56:52 | Epoch [29/50] | Batch 115/509 | d_loss: 0.4753 | g_loss: 3.2788
2023-06-03 22:56:53 | Epoch [29/50] | Batch 120/509 | d_loss: 0.4978 | g_loss: 2.2245
2023-06-03 22:56:55 | Epoch [29/50] | Batch 125/509 | d_loss: 0.3848 | g_loss: 4.5834
2023-06-03 22:56:56 | Epoch [29/50] | Batch 130/509 | d_loss: 0.4313 | g_loss: 4.8912
2023-06-03 22:56:58 | Epoch [29/50] | Batch 135/509 | d_loss: 0.5182 | g_loss: 5.0988
2023-06-03 22:57:00 | Epoch [29/50] | Batch 140/509 | d_loss: 0.5629 | g_loss: 3.4688
2023-06-03 22:57:01 | Epoch [29/50] | Batch 145/509 | d_loss: 0.4239 | g_loss: 5.1557
2023-06-03 22:57:03 | Epoch [29/50] | Batch 150/509 | d_loss: 0.3742 | g_loss: 4.4056
2023-06-03 22:57:05 | Epoch [29/50] | Batch 155/509 | d_loss: 0.3902 | g_loss: 3.7331
2023-06-03 22:57:06 | Epoch [29/50] | Batch 160/509 | d_loss: 0.3880 | g_loss: 3.7539
2023-06-03 22:57:08 | Epoch [29/50] | Batch 165/509 | d_loss: 0.3717 | g_loss: 5.0997
2023-06-03 22:57:10 | Epoch [29/50] | Batch 170/509 | d_loss: 0.3572 | g_loss: 6.1785
2023-06-03 22:57:11 | Epoch [29/50] | Batch 175/509 | d_loss: 0.4014 | g_loss: 4.7729
2023-06-03 22:57:13 | Epoch [29/50] | Batch 180/509 | d_loss: 0.4099 | g_loss: 4.3620
2023-06-03 22:57:14 | Epoch [29/50] | Batch 185/509 | d_loss: 0.3537 | g_loss: 7.1655
2023-06-03 22:57:16 | Epoch [29/50] | Batch 190/509 | d_loss: 0.4297 | g_loss: 3.0067
2023-06-03 22:57:18 | Epoch [29/50] | Batch 195/509 | d_loss: 0.3554 | g_loss: 4.0025
2023-06-03 22:57:19 | Epoch [29/50] | Batch 200/509 | d_loss: 0.3596 | g_loss: 5.1123
2023-06-03 22:57:21 | Epoch [29/50] | Batch 205/509 | d_loss: 0.5238 | g_loss: 2.4767
2023-06-03 22:57:23 | Epoch [29/50] | Batch 210/509 | d_loss: 0.3598 | g_loss: 3.7570
2023-06-03 22:57:24 | Epoch [29/50] | Batch 215/509 | d_loss: 0.4036 | g_loss: 4.1179
2023-06-03 22:57:26 | Epoch [29/50] | Batch 220/509 | d_loss: 0.3499 | g_loss: 6.0765
2023-06-03 22:57:28 | Epoch [29/50] | Batch 225/509 | d_loss: 0.3606 | g_loss: 5.1176
2023-06-03 22:57:29 | Epoch [29/50] | Batch 230/509 | d_loss: 0.3571 | g_loss: 6.3350
2023-06-03 22:57:31 | Epoch [29/50] | Batch 235/509 | d_loss: 0.3730 | g_loss: 5.8011
2023-06-03 22:57:32 | Epoch [29/50] | Batch 240/509 | d_loss: 1.0581 | g_loss: 7.9324
2023-06-03 22:57:34 | Epoch [29/50] | Batch 245/509 | d_loss: 0.5479 | g_loss: 4.8331
2023-06-03 22:57:36 | Epoch [29/50] | Batch 250/509 | d_loss: 0.4015 | g_loss: 3.6579
2023-06-03 22:57:37 | Epoch [29/50] | Batch 255/509 | d_loss: 0.4325 | g_loss: 4.0716
2023-06-03 22:57:39 | Epoch [29/50] | Batch 260/509 | d_loss: 0.3963 | g_loss: 3.7732
2023-06-03 22:57:41 | Epoch [29/50] | Batch 265/509 | d_loss: 0.5370 | g_loss: 5.8346
2023-06-03 22:57:42 | Epoch [29/50] | Batch 270/509 | d_loss: 0.9508 | g_loss: 6.2782
2023-06-03 22:57:44 | Epoch [29/50] | Batch 275/509 | d_loss: 0.3623 | g_loss: 5.9458
2023-06-03 22:57:46 | Epoch [29/50] | Batch 280/509 | d_loss: 0.3933 | g_loss: 3.5846
2023-06-03 22:57:47 | Epoch [29/50] | Batch 285/509 | d_loss: 0.4386 | g_loss: 2.3843
2023-06-03 22:57:49 | Epoch [29/50] | Batch 290/509 | d_loss: 0.4653 | g_loss: 5.5361
2023-06-03 22:57:50 | Epoch [29/50] | Batch 295/509 | d_loss: 0.4681 | g_loss: 2.6112
2023-06-03 22:57:52 | Epoch [29/50] | Batch 300/509 | d_loss: 0.8328 | g_loss: 2.6670
2023-06-03 22:57:54 | Epoch [29/50] | Batch 305/509 | d_loss: 0.3897 | g_loss: 4.7108
2023-06-03 22:57:55 | Epoch [29/50] | Batch 310/509 | d_loss: 0.3934 | g_loss: 4.8872
2023-06-03 22:57:57 | Epoch [29/50] | Batch 315/509 | d_loss: 0.3892 | g_loss: 3.6583
2023-06-03 22:57:59 | Epoch [29/50] | Batch 320/509 | d_loss: 0.3780 | g_loss: 4.4501
2023-06-03 22:58:00 | Epoch [29/50] | Batch 325/509 | d_loss: 0.3686 | g_loss: 5.0733
2023-06-03 22:58:02 | Epoch [29/50] | Batch 330/509 | d_loss: 0.3710 | g_loss: 4.6802
2023-06-03 22:58:04 | Epoch [29/50] | Batch 335/509 | d_loss: 0.3678 | g_loss: 5.0621
2023-06-03 22:58:05 | Epoch [29/50] | Batch 340/509 | d_loss: 0.3557 | g_loss: 5.0871
2023-06-03 22:58:07 | Epoch [29/50] | Batch 345/509 | d_loss: 0.3643 | g_loss: 4.1828
2023-06-03 22:58:08 | Epoch [29/50] | Batch 350/509 | d_loss: 0.3853 | g_loss: 4.4906
2023-06-03 22:58:10 | Epoch [29/50] | Batch 355/509 | d_loss: 0.4292 | g_loss: 3.2739
2023-06-03 22:58:12 | Epoch [29/50] | Batch 360/509 | d_loss: 0.3593 | g_loss: 5.2565
2023-06-03 22:58:13 | Epoch [29/50] | Batch 365/509 | d_loss: 0.3501 | g_loss: 5.7573
2023-06-03 22:58:15 | Epoch [29/50] | Batch 370/509 | d_loss: 0.3996 | g_loss: 4.4596
2023-06-03 22:58:17 | Epoch [29/50] | Batch 375/509 | d_loss: 0.4368 | g_loss: 4.2281
2023-06-03 22:58:18 | Epoch [29/50] | Batch 380/509 | d_loss: 0.3685 | g_loss: 3.6850
2023-06-03 22:58:20 | Epoch [29/50] | Batch 385/509 | d_loss: 0.3632 | g_loss: 6.9565
2023-06-03 22:58:22 | Epoch [29/50] | Batch 390/509 | d_loss: 0.4958 | g_loss: 3.7998
2023-06-03 22:58:23 | Epoch [29/50] | Batch 395/509 | d_loss: 0.5532 | g_loss: 2.8429
2023-06-03 22:58:25 | Epoch [29/50] | Batch 400/509 | d_loss: 0.3797 | g_loss: 3.8401
2023-06-03 22:58:27 | Epoch [29/50] | Batch 405/509 | d_loss: 0.3845 | g_loss: 4.6510
2023-06-03 22:58:28 | Epoch [29/50] | Batch 410/509 | d_loss: 0.3697 | g_loss: 4.4489
2023-06-03 22:58:30 | Epoch [29/50] | Batch 415/509 | d_loss: 0.3550 | g_loss: 5.0628
2023-06-03 22:58:31 | Epoch [29/50] | Batch 420/509 | d_loss: 0.3675 | g_loss: 5.3216
2023-06-03 22:58:33 | Epoch [29/50] | Batch 425/509 | d_loss: 0.4292 | g_loss: 5.4620
2023-06-03 22:58:35 | Epoch [29/50] | Batch 430/509 | d_loss: 0.4138 | g_loss: 5.1296
2023-06-03 22:58:36 | Epoch [29/50] | Batch 435/509 | d_loss: 0.6711 | g_loss: 4.4988
2023-06-03 22:58:38 | Epoch [29/50] | Batch 440/509 | d_loss: 0.4312 | g_loss: 2.8910
2023-06-03 22:58:40 | Epoch [29/50] | Batch 445/509 | d_loss: 0.4340 | g_loss: 2.0820
2023-06-03 22:58:41 | Epoch [29/50] | Batch 450/509 | d_loss: 0.4275 | g_loss: 4.0536
2023-06-03 22:58:43 | Epoch [29/50] | Batch 455/509 | d_loss: 0.3921 | g_loss: 4.9130
2023-06-03 22:58:45 | Epoch [29/50] | Batch 460/509 | d_loss: 0.4001 | g_loss: 4.1542
2023-06-03 22:58:46 | Epoch [29/50] | Batch 465/509 | d_loss: 0.3853 | g_loss: 4.9575
2023-06-03 22:58:48 | Epoch [29/50] | Batch 470/509 | d_loss: 0.3664 | g_loss: 4.5463
2023-06-03 22:58:49 | Epoch [29/50] | Batch 475/509 | d_loss: 0.5697 | g_loss: 4.9044
2023-06-03 22:58:51 | Epoch [29/50] | Batch 480/509 | d_loss: 0.3667 | g_loss: 5.9094
2023-06-03 22:58:53 | Epoch [29/50] | Batch 485/509 | d_loss: 1.3766 | g_loss: 7.7216
2023-06-03 22:58:54 | Epoch [29/50] | Batch 490/509 | d_loss: 0.4469 | g_loss: 4.2691
2023-06-03 22:58:56 | Epoch [29/50] | Batch 495/509 | d_loss: 0.5634 | g_loss: 1.9138
2023-06-03 22:58:58 | Epoch [29/50] | Batch 500/509 | d_loss: 0.6372 | g_loss: 2.9826
2023-06-03 22:58:59 | Epoch [29/50] | Batch 505/509 | d_loss: 0.7434 | g_loss: 1.6236

2023-06-03 22:59:02 | Epoch [30/50] | Batch 0/509 | d_loss: 0.6282 | g_loss: 3.5038
2023-06-03 22:59:03 | Epoch [30/50] | Batch 5/509 | d_loss: 0.5437 | g_loss: 3.0465
2023-06-03 22:59:05 | Epoch [30/50] | Batch 10/509 | d_loss: 0.4995 | g_loss: 4.1734
2023-06-03 22:59:07 | Epoch [30/50] | Batch 15/509 | d_loss: 0.5864 | g_loss: 2.9144
2023-06-03 22:59:08 | Epoch [30/50] | Batch 20/509 | d_loss: 0.3789 | g_loss: 5.2057
2023-06-03 22:59:10 | Epoch [30/50] | Batch 25/509 | d_loss: 0.7993 | g_loss: 4.8797
2023-06-03 22:59:12 | Epoch [30/50] | Batch 30/509 | d_loss: 0.4804 | g_loss: 4.3742
2023-06-03 22:59:13 | Epoch [30/50] | Batch 35/509 | d_loss: 0.4226 | g_loss: 3.6286
2023-06-03 22:59:15 | Epoch [30/50] | Batch 40/509 | d_loss: 0.4105 | g_loss: 4.5169
2023-06-03 22:59:17 | Epoch [30/50] | Batch 45/509 | d_loss: 0.4431 | g_loss: 3.4547
2023-06-03 22:59:18 | Epoch [30/50] | Batch 50/509 | d_loss: 0.3827 | g_loss: 3.9008
2023-06-03 22:59:20 | Epoch [30/50] | Batch 55/509 | d_loss: 0.4856 | g_loss: 3.4098
2023-06-03 22:59:21 | Epoch [30/50] | Batch 60/509 | d_loss: 0.4507 | g_loss: 3.0614
2023-06-03 22:59:23 | Epoch [30/50] | Batch 65/509 | d_loss: 0.4592 | g_loss: 4.0386
2023-06-03 22:59:25 | Epoch [30/50] | Batch 70/509 | d_loss: 0.4187 | g_loss: 3.1441
2023-06-03 22:59:26 | Epoch [30/50] | Batch 75/509 | d_loss: 0.3747 | g_loss: 4.2036
2023-06-03 22:59:28 | Epoch [30/50] | Batch 80/509 | d_loss: 0.4862 | g_loss: 4.1634
2023-06-03 22:59:30 | Epoch [30/50] | Batch 85/509 | d_loss: 0.4112 | g_loss: 4.5074
2023-06-03 22:59:31 | Epoch [30/50] | Batch 90/509 | d_loss: 0.9851 | g_loss: 6.1157
2023-06-03 22:59:33 | Epoch [30/50] | Batch 95/509 | d_loss: 0.6162 | g_loss: 4.0901
2023-06-03 22:59:35 | Epoch [30/50] | Batch 100/509 | d_loss: 0.4493 | g_loss: 3.2664
2023-06-03 22:59:36 | Epoch [30/50] | Batch 105/509 | d_loss: 0.4280 | g_loss: 3.4678
2023-06-03 22:59:38 | Epoch [30/50] | Batch 110/509 | d_loss: 0.4847 | g_loss: 4.0200
2023-06-03 22:59:39 | Epoch [30/50] | Batch 115/509 | d_loss: 0.5416 | g_loss: 3.5308
2023-06-03 22:59:41 | Epoch [30/50] | Batch 120/509 | d_loss: 0.4915 | g_loss: 2.9786
2023-06-03 22:59:43 | Epoch [30/50] | Batch 125/509 | d_loss: 0.4145 | g_loss: 4.1668
2023-06-03 22:59:44 | Epoch [30/50] | Batch 130/509 | d_loss: 0.4687 | g_loss: 4.9310
2023-06-03 22:59:46 | Epoch [30/50] | Batch 135/509 | d_loss: 0.3761 | g_loss: 3.9557
2023-06-03 22:59:48 | Epoch [30/50] | Batch 140/509 | d_loss: 0.4114 | g_loss: 4.4385
2023-06-03 22:59:49 | Epoch [30/50] | Batch 145/509 | d_loss: 0.3746 | g_loss: 4.1351
2023-06-03 22:59:51 | Epoch [30/50] | Batch 150/509 | d_loss: 0.3736 | g_loss: 4.5454
2023-06-03 22:59:53 | Epoch [30/50] | Batch 155/509 | d_loss: 0.6190 | g_loss: 4.5497
2023-06-03 22:59:54 | Epoch [30/50] | Batch 160/509 | d_loss: 0.5639 | g_loss: 3.2773
2023-06-03 22:59:56 | Epoch [30/50] | Batch 165/509 | d_loss: 0.4081 | g_loss: 2.9675
2023-06-03 22:59:58 | Epoch [30/50] | Batch 170/509 | d_loss: 0.4571 | g_loss: 3.7327
2023-06-03 22:59:59 | Epoch [30/50] | Batch 175/509 | d_loss: 0.4468 | g_loss: 3.6552
2023-06-03 23:00:01 | Epoch [30/50] | Batch 180/509 | d_loss: 0.3763 | g_loss: 3.3043
2023-06-03 23:00:02 | Epoch [30/50] | Batch 185/509 | d_loss: 0.3717 | g_loss: 4.4727
2023-06-03 23:00:04 | Epoch [30/50] | Batch 190/509 | d_loss: 0.3844 | g_loss: 3.3579
2023-06-03 23:00:06 | Epoch [30/50] | Batch 195/509 | d_loss: 0.5108 | g_loss: 4.5177
2023-06-03 23:00:07 | Epoch [30/50] | Batch 200/509 | d_loss: 0.3770 | g_loss: 5.4334
2023-06-03 23:00:09 | Epoch [30/50] | Batch 205/509 | d_loss: 0.3660 | g_loss: 4.6950
2023-06-03 23:00:11 | Epoch [30/50] | Batch 210/509 | d_loss: 0.3938 | g_loss: 3.8535
2023-06-03 23:00:12 | Epoch [30/50] | Batch 215/509 | d_loss: 0.3653 | g_loss: 4.9328
2023-06-03 23:00:14 | Epoch [30/50] | Batch 220/509 | d_loss: 0.3698 | g_loss: 4.5979
2023-06-03 23:00:16 | Epoch [30/50] | Batch 225/509 | d_loss: 0.3928 | g_loss: 3.5610
2023-06-03 23:00:17 | Epoch [30/50] | Batch 230/509 | d_loss: 0.3884 | g_loss: 4.5331
2023-06-03 23:00:19 | Epoch [30/50] | Batch 235/509 | d_loss: 0.4236 | g_loss: 4.1374
2023-06-03 23:00:20 | Epoch [30/50] | Batch 240/509 | d_loss: 0.3747 | g_loss: 3.9930
2023-06-03 23:00:22 | Epoch [30/50] | Batch 245/509 | d_loss: 0.3874 | g_loss: 4.7791
2023-06-03 23:00:24 | Epoch [30/50] | Batch 250/509 | d_loss: 0.7203 | g_loss: 5.8727
2023-06-03 23:00:25 | Epoch [30/50] | Batch 255/509 | d_loss: 0.5838 | g_loss: 2.2666
2023-06-03 23:00:27 | Epoch [30/50] | Batch 260/509 | d_loss: 0.4541 | g_loss: 4.6159
2023-06-03 23:00:29 | Epoch [30/50] | Batch 265/509 | d_loss: 0.3579 | g_loss: 4.3128
2023-06-03 23:00:30 | Epoch [30/50] | Batch 270/509 | d_loss: 0.3769 | g_loss: 4.5700
2023-06-03 23:00:32 | Epoch [30/50] | Batch 275/509 | d_loss: 0.3693 | g_loss: 4.3401
2023-06-03 23:00:34 | Epoch [30/50] | Batch 280/509 | d_loss: 0.4431 | g_loss: 2.5617
2023-06-03 23:00:35 | Epoch [30/50] | Batch 285/509 | d_loss: 0.3627 | g_loss: 7.2762
2023-06-03 23:00:37 | Epoch [30/50] | Batch 290/509 | d_loss: 0.3760 | g_loss: 5.1789
2023-06-03 23:00:38 | Epoch [30/50] | Batch 295/509 | d_loss: 0.3660 | g_loss: 4.5686
2023-06-03 23:00:40 | Epoch [30/50] | Batch 300/509 | d_loss: 0.5486 | g_loss: 4.0372
2023-06-03 23:00:42 | Epoch [30/50] | Batch 305/509 | d_loss: 0.5866 | g_loss: 1.8146
2023-06-03 23:00:43 | Epoch [30/50] | Batch 310/509 | d_loss: 1.1506 | g_loss: 1.7724
2023-06-03 23:00:45 | Epoch [30/50] | Batch 315/509 | d_loss: 0.4221 | g_loss: 3.6649
2023-06-03 23:00:47 | Epoch [30/50] | Batch 320/509 | d_loss: 0.4198 | g_loss: 2.7343
2023-06-03 23:00:48 | Epoch [30/50] | Batch 325/509 | d_loss: 0.3784 | g_loss: 4.7253
2023-06-03 23:00:50 | Epoch [30/50] | Batch 330/509 | d_loss: 0.4141 | g_loss: 3.6412
2023-06-03 23:00:52 | Epoch [30/50] | Batch 335/509 | d_loss: 0.4098 | g_loss: 4.4646
2023-06-03 23:00:53 | Epoch [30/50] | Batch 340/509 | d_loss: 0.3732 | g_loss: 4.9374
2023-06-03 23:00:55 | Epoch [30/50] | Batch 345/509 | d_loss: 0.4195 | g_loss: 4.1769
2023-06-03 23:00:57 | Epoch [30/50] | Batch 350/509 | d_loss: 0.3895 | g_loss: 4.9755
2023-06-03 23:00:58 | Epoch [30/50] | Batch 355/509 | d_loss: 0.4160 | g_loss: 3.9213
2023-06-03 23:01:00 | Epoch [30/50] | Batch 360/509 | d_loss: 0.3908 | g_loss: 3.7391
2023-06-03 23:01:01 | Epoch [30/50] | Batch 365/509 | d_loss: 0.3900 | g_loss: 4.3534
2023-06-03 23:01:03 | Epoch [30/50] | Batch 370/509 | d_loss: 0.3460 | g_loss: 7.0027
2023-06-03 23:01:05 | Epoch [30/50] | Batch 375/509 | d_loss: 0.3724 | g_loss: 3.4426
2023-06-03 23:01:06 | Epoch [30/50] | Batch 380/509 | d_loss: 0.3698 | g_loss: 5.7357
2023-06-03 23:01:08 | Epoch [30/50] | Batch 385/509 | d_loss: 0.3884 | g_loss: 4.7866
2023-06-03 23:01:10 | Epoch [30/50] | Batch 390/509 | d_loss: 0.4112 | g_loss: 4.7104
2023-06-03 23:01:11 | Epoch [30/50] | Batch 395/509 | d_loss: 0.4067 | g_loss: 4.9772
2023-06-03 23:01:13 | Epoch [30/50] | Batch 400/509 | d_loss: 0.3734 | g_loss: 4.4107
2023-06-03 23:01:15 | Epoch [30/50] | Batch 405/509 | d_loss: 0.3720 | g_loss: 3.5744
2023-06-03 23:01:16 | Epoch [30/50] | Batch 410/509 | d_loss: 0.4001 | g_loss: 4.2670
2023-06-03 23:01:18 | Epoch [30/50] | Batch 415/509 | d_loss: 0.3621 | g_loss: 5.3225
2023-06-03 23:01:19 | Epoch [30/50] | Batch 420/509 | d_loss: 0.3818 | g_loss: 4.6778
2023-06-03 23:01:21 | Epoch [30/50] | Batch 425/509 | d_loss: 0.3604 | g_loss: 4.1428
2023-06-03 23:01:23 | Epoch [30/50] | Batch 430/509 | d_loss: 0.7177 | g_loss: 6.4045
2023-06-03 23:01:24 | Epoch [30/50] | Batch 435/509 | d_loss: 0.3662 | g_loss: 4.8914
2023-06-03 23:01:26 | Epoch [30/50] | Batch 440/509 | d_loss: 0.3736 | g_loss: 4.0815
2023-06-03 23:01:28 | Epoch [30/50] | Batch 445/509 | d_loss: 0.4566 | g_loss: 4.3396
2023-06-03 23:01:29 | Epoch [30/50] | Batch 450/509 | d_loss: 0.3982 | g_loss: 6.0137
2023-06-03 23:01:31 | Epoch [30/50] | Batch 455/509 | d_loss: 0.4007 | g_loss: 3.5039
2023-06-03 23:01:33 | Epoch [30/50] | Batch 460/509 | d_loss: 0.3538 | g_loss: 4.8528
2023-06-03 23:01:34 | Epoch [30/50] | Batch 465/509 | d_loss: 0.3868 | g_loss: 4.6486
2023-06-03 23:01:36 | Epoch [30/50] | Batch 470/509 | d_loss: 0.3548 | g_loss: 4.1931
2023-06-03 23:01:38 | Epoch [30/50] | Batch 475/509 | d_loss: 0.4177 | g_loss: 3.5783
2023-06-03 23:01:39 | Epoch [30/50] | Batch 480/509 | d_loss: 0.4079 | g_loss: 7.1202
2023-06-03 23:01:41 | Epoch [30/50] | Batch 485/509 | d_loss: 0.3911 | g_loss: 3.3220
2023-06-03 23:01:42 | Epoch [30/50] | Batch 490/509 | d_loss: 0.3623 | g_loss: 5.2953
2023-06-03 23:01:44 | Epoch [30/50] | Batch 495/509 | d_loss: 0.3799 | g_loss: 4.4435
2023-06-03 23:01:46 | Epoch [30/50] | Batch 500/509 | d_loss: 0.3778 | g_loss: 5.1669
2023-06-03 23:01:47 | Epoch [30/50] | Batch 505/509 | d_loss: 1.0767 | g_loss: 1.0145

2023-06-03 23:01:50 | Epoch [31/50] | Batch 0/509 | d_loss: 0.5592 | g_loss: 4.7942
2023-06-03 23:01:52 | Epoch [31/50] | Batch 5/509 | d_loss: 0.4171 | g_loss: 3.1538
2023-06-03 23:01:53 | Epoch [31/50] | Batch 10/509 | d_loss: 0.3887 | g_loss: 3.8785
2023-06-03 23:01:55 | Epoch [31/50] | Batch 15/509 | d_loss: 0.3902 | g_loss: 4.3118
2023-06-03 23:01:56 | Epoch [31/50] | Batch 20/509 | d_loss: 0.3702 | g_loss: 4.0077
2023-06-03 23:01:58 | Epoch [31/50] | Batch 25/509 | d_loss: 0.5190 | g_loss: 3.8346
2023-06-03 23:02:00 | Epoch [31/50] | Batch 30/509 | d_loss: 0.5088 | g_loss: 3.0150
2023-06-03 23:02:01 | Epoch [31/50] | Batch 35/509 | d_loss: 0.6210 | g_loss: 5.2734
2023-06-03 23:02:03 | Epoch [31/50] | Batch 40/509 | d_loss: 0.4352 | g_loss: 5.0946
2023-06-03 23:02:05 | Epoch [31/50] | Batch 45/509 | d_loss: 0.4113 | g_loss: 4.4974
2023-06-03 23:02:06 | Epoch [31/50] | Batch 50/509 | d_loss: 0.3980 | g_loss: 4.5965
2023-06-03 23:02:08 | Epoch [31/50] | Batch 55/509 | d_loss: 0.3570 | g_loss: 5.2468
2023-06-03 23:02:10 | Epoch [31/50] | Batch 60/509 | d_loss: 0.3627 | g_loss: 4.9494
2023-06-03 23:02:11 | Epoch [31/50] | Batch 65/509 | d_loss: 0.4302 | g_loss: 4.1366
2023-06-03 23:02:13 | Epoch [31/50] | Batch 70/509 | d_loss: 0.4008 | g_loss: 4.3771
2023-06-03 23:02:14 | Epoch [31/50] | Batch 75/509 | d_loss: 0.3597 | g_loss: 5.1920
2023-06-03 23:02:16 | Epoch [31/50] | Batch 80/509 | d_loss: 0.3496 | g_loss: 5.0782
2023-06-03 23:02:18 | Epoch [31/50] | Batch 85/509 | d_loss: 0.3523 | g_loss: 5.9444
2023-06-03 23:02:19 | Epoch [31/50] | Batch 90/509 | d_loss: 0.3704 | g_loss: 4.3318
2023-06-03 23:02:21 | Epoch [31/50] | Batch 95/509 | d_loss: 0.3958 | g_loss: 5.0162
2023-06-03 23:02:23 | Epoch [31/50] | Batch 100/509 | d_loss: 0.3540 | g_loss: 5.7657
2023-06-03 23:02:24 | Epoch [31/50] | Batch 105/509 | d_loss: 0.3886 | g_loss: 4.1776
2023-06-03 23:02:26 | Epoch [31/50] | Batch 110/509 | d_loss: 0.6358 | g_loss: 6.1019
2023-06-03 23:02:28 | Epoch [31/50] | Batch 115/509 | d_loss: 0.5861 | g_loss: 4.9420
2023-06-03 23:02:29 | Epoch [31/50] | Batch 120/509 | d_loss: 0.5380 | g_loss: 3.9668
2023-06-03 23:02:31 | Epoch [31/50] | Batch 125/509 | d_loss: 0.4056 | g_loss: 4.9990
2023-06-03 23:02:33 | Epoch [31/50] | Batch 130/509 | d_loss: 0.3554 | g_loss: 5.1967
2023-06-03 23:02:34 | Epoch [31/50] | Batch 135/509 | d_loss: 0.3538 | g_loss: 5.2493
2023-06-03 23:02:36 | Epoch [31/50] | Batch 140/509 | d_loss: 0.4317 | g_loss: 5.5594
2023-06-03 23:02:37 | Epoch [31/50] | Batch 145/509 | d_loss: 0.3486 | g_loss: 5.0411
2023-06-03 23:02:39 | Epoch [31/50] | Batch 150/509 | d_loss: 0.5986 | g_loss: 4.2223
2023-06-03 23:02:41 | Epoch [31/50] | Batch 155/509 | d_loss: 0.5280 | g_loss: 2.5206
2023-06-03 23:02:42 | Epoch [31/50] | Batch 160/509 | d_loss: 0.4189 | g_loss: 4.7471
2023-06-03 23:02:44 | Epoch [31/50] | Batch 165/509 | d_loss: 0.3607 | g_loss: 3.8535
2023-06-03 23:02:46 | Epoch [31/50] | Batch 170/509 | d_loss: 0.3774 | g_loss: 4.7081
2023-06-03 23:02:47 | Epoch [31/50] | Batch 175/509 | d_loss: 0.3530 | g_loss: 6.3641
2023-06-03 23:02:49 | Epoch [31/50] | Batch 180/509 | d_loss: 0.3690 | g_loss: 4.7075
2023-06-03 23:02:51 | Epoch [31/50] | Batch 185/509 | d_loss: 0.3776 | g_loss: 5.0711
2023-06-03 23:02:52 | Epoch [31/50] | Batch 190/509 | d_loss: 0.3954 | g_loss: 3.7760
2023-06-03 23:02:54 | Epoch [31/50] | Batch 195/509 | d_loss: 0.6980 | g_loss: 2.7583
2023-06-03 23:02:55 | Epoch [31/50] | Batch 200/509 | d_loss: 0.3509 | g_loss: 6.0814
2023-06-03 23:02:57 | Epoch [31/50] | Batch 205/509 | d_loss: 0.3995 | g_loss: 4.4981
2023-06-03 23:02:59 | Epoch [31/50] | Batch 210/509 | d_loss: 0.3703 | g_loss: 4.2861
2023-06-03 23:03:00 | Epoch [31/50] | Batch 215/509 | d_loss: 0.3545 | g_loss: 5.6671
2023-06-03 23:03:02 | Epoch [31/50] | Batch 220/509 | d_loss: 0.3487 | g_loss: 6.3737
2023-06-03 23:03:04 | Epoch [31/50] | Batch 225/509 | d_loss: 0.4282 | g_loss: 4.0066
2023-06-03 23:03:05 | Epoch [31/50] | Batch 230/509 | d_loss: 0.4061 | g_loss: 4.2510
2023-06-03 23:03:07 | Epoch [31/50] | Batch 235/509 | d_loss: 0.3742 | g_loss: 4.2945
2023-06-03 23:03:09 | Epoch [31/50] | Batch 240/509 | d_loss: 0.4065 | g_loss: 4.4485
2023-06-03 23:03:10 | Epoch [31/50] | Batch 245/509 | d_loss: 0.3823 | g_loss: 5.1307
2023-06-03 23:03:12 | Epoch [31/50] | Batch 250/509 | d_loss: 0.3608 | g_loss: 5.4123
2023-06-03 23:03:13 | Epoch [31/50] | Batch 255/509 | d_loss: 0.4598 | g_loss: 3.6536
2023-06-03 23:03:15 | Epoch [31/50] | Batch 260/509 | d_loss: 0.6139 | g_loss: 1.9356
2023-06-03 23:03:17 | Epoch [31/50] | Batch 265/509 | d_loss: 0.4679 | g_loss: 4.8705
2023-06-03 23:03:18 | Epoch [31/50] | Batch 270/509 | d_loss: 0.3870 | g_loss: 3.4334
2023-06-03 23:03:20 | Epoch [31/50] | Batch 275/509 | d_loss: 0.5007 | g_loss: 4.2318
2023-06-03 23:03:22 | Epoch [31/50] | Batch 280/509 | d_loss: 0.4211 | g_loss: 5.1561
2023-06-03 23:03:23 | Epoch [31/50] | Batch 285/509 | d_loss: 0.4653 | g_loss: 3.6866
2023-06-03 23:03:25 | Epoch [31/50] | Batch 290/509 | d_loss: 0.4191 | g_loss: 2.8728
2023-06-03 23:03:27 | Epoch [31/50] | Batch 295/509 | d_loss: 0.4281 | g_loss: 4.0122
2023-06-03 23:03:28 | Epoch [31/50] | Batch 300/509 | d_loss: 0.3538 | g_loss: 5.7115
2023-06-03 23:03:30 | Epoch [31/50] | Batch 305/509 | d_loss: 0.3619 | g_loss: 4.2289
2023-06-03 23:03:31 | Epoch [31/50] | Batch 310/509 | d_loss: 0.3836 | g_loss: 4.4157
2023-06-03 23:03:33 | Epoch [31/50] | Batch 315/509 | d_loss: 0.3780 | g_loss: 4.4448
2023-06-03 23:03:35 | Epoch [31/50] | Batch 320/509 | d_loss: 0.7014 | g_loss: 6.3435
2023-06-03 23:03:36 | Epoch [31/50] | Batch 325/509 | d_loss: 0.4805 | g_loss: 3.9285
2023-06-03 23:03:38 | Epoch [31/50] | Batch 330/509 | d_loss: 1.2746 | g_loss: 0.7535
2023-06-03 23:03:40 | Epoch [31/50] | Batch 335/509 | d_loss: 0.3875 | g_loss: 4.3223
2023-06-03 23:03:41 | Epoch [31/50] | Batch 340/509 | d_loss: 0.4165 | g_loss: 3.4648
2023-06-03 23:03:43 | Epoch [31/50] | Batch 345/509 | d_loss: 0.3580 | g_loss: 5.5690
2023-06-03 23:03:45 | Epoch [31/50] | Batch 350/509 | d_loss: 0.4180 | g_loss: 3.1070
2023-06-03 23:03:46 | Epoch [31/50] | Batch 355/509 | d_loss: 0.4039 | g_loss: 5.1715
2023-06-03 23:03:48 | Epoch [31/50] | Batch 360/509 | d_loss: 0.3681 | g_loss: 4.2296
2023-06-03 23:03:50 | Epoch [31/50] | Batch 365/509 | d_loss: 0.4015 | g_loss: 4.8378
2023-06-03 23:03:51 | Epoch [31/50] | Batch 370/509 | d_loss: 0.3621 | g_loss: 4.7941
2023-06-03 23:03:53 | Epoch [31/50] | Batch 375/509 | d_loss: 0.3960 | g_loss: 3.8884
2023-06-03 23:03:54 | Epoch [31/50] | Batch 380/509 | d_loss: 0.3820 | g_loss: 5.2590
2023-06-03 23:03:56 | Epoch [31/50] | Batch 385/509 | d_loss: 0.3767 | g_loss: 3.0963
2023-06-03 23:03:58 | Epoch [31/50] | Batch 390/509 | d_loss: 0.3603 | g_loss: 6.1375
2023-06-03 23:03:59 | Epoch [31/50] | Batch 395/509 | d_loss: 0.3593 | g_loss: 3.3324
2023-06-03 23:04:01 | Epoch [31/50] | Batch 400/509 | d_loss: 0.3651 | g_loss: 5.0068
2023-06-03 23:04:03 | Epoch [31/50] | Batch 405/509 | d_loss: 0.3943 | g_loss: 4.4419
2023-06-03 23:04:04 | Epoch [31/50] | Batch 410/509 | d_loss: 0.4824 | g_loss: 4.1151
2023-06-03 23:04:06 | Epoch [31/50] | Batch 415/509 | d_loss: 0.3849 | g_loss: 3.5771
2023-06-03 23:04:08 | Epoch [31/50] | Batch 420/509 | d_loss: 0.3706 | g_loss: 4.7168
2023-06-03 23:04:09 | Epoch [31/50] | Batch 425/509 | d_loss: 0.4478 | g_loss: 2.7983
2023-06-03 23:04:11 | Epoch [31/50] | Batch 430/509 | d_loss: 0.3642 | g_loss: 4.7142
2023-06-03 23:04:12 | Epoch [31/50] | Batch 435/509 | d_loss: 0.3567 | g_loss: 5.1169
2023-06-03 23:04:14 | Epoch [31/50] | Batch 440/509 | d_loss: 0.3657 | g_loss: 5.9595
2023-06-03 23:04:16 | Epoch [31/50] | Batch 445/509 | d_loss: 0.3857 | g_loss: 3.3822
2023-06-03 23:04:17 | Epoch [31/50] | Batch 450/509 | d_loss: 0.3503 | g_loss: 4.2210
2023-06-03 23:04:19 | Epoch [31/50] | Batch 455/509 | d_loss: 0.4008 | g_loss: 4.8803
2023-06-03 23:04:21 | Epoch [31/50] | Batch 460/509 | d_loss: 0.5212 | g_loss: 5.5058
2023-06-03 23:04:22 | Epoch [31/50] | Batch 465/509 | d_loss: 2.9650 | g_loss: 1.5541
2023-06-03 23:04:24 | Epoch [31/50] | Batch 470/509 | d_loss: 0.4267 | g_loss: 4.1819
2023-06-03 23:04:25 | Epoch [31/50] | Batch 475/509 | d_loss: 0.4021 | g_loss: 3.7228
2023-06-03 23:04:27 | Epoch [31/50] | Batch 480/509 | d_loss: 0.5332 | g_loss: 3.3969
2023-06-03 23:04:29 | Epoch [31/50] | Batch 485/509 | d_loss: 0.5728 | g_loss: 2.2925
2023-06-03 23:04:30 | Epoch [31/50] | Batch 490/509 | d_loss: 0.4157 | g_loss: 6.1911
2023-06-03 23:04:32 | Epoch [31/50] | Batch 495/509 | d_loss: 0.5205 | g_loss: 1.9602
2023-06-03 23:04:34 | Epoch [31/50] | Batch 500/509 | d_loss: 0.5854 | g_loss: 4.9669
2023-06-03 23:04:35 | Epoch [31/50] | Batch 505/509 | d_loss: 0.3897 | g_loss: 4.1225

2023-06-03 23:04:38 | Epoch [32/50] | Batch 0/509 | d_loss: 0.3778 | g_loss: 3.5610
2023-06-03 23:04:39 | Epoch [32/50] | Batch 5/509 | d_loss: 0.4247 | g_loss: 3.2407
2023-06-03 23:04:41 | Epoch [32/50] | Batch 10/509 | d_loss: 0.3712 | g_loss: 4.8820
2023-06-03 23:04:43 | Epoch [32/50] | Batch 15/509 | d_loss: 0.3886 | g_loss: 5.3733
2023-06-03 23:04:44 | Epoch [32/50] | Batch 20/509 | d_loss: 0.4531 | g_loss: 3.6683
2023-06-03 23:04:46 | Epoch [32/50] | Batch 25/509 | d_loss: 0.5033 | g_loss: 4.7185
2023-06-03 23:04:48 | Epoch [32/50] | Batch 30/509 | d_loss: 0.4545 | g_loss: 3.8548
2023-06-03 23:04:49 | Epoch [32/50] | Batch 35/509 | d_loss: 0.4081 | g_loss: 5.1737
2023-06-03 23:04:51 | Epoch [32/50] | Batch 40/509 | d_loss: 0.4616 | g_loss: 3.1246
2023-06-03 23:04:52 | Epoch [32/50] | Batch 45/509 | d_loss: 0.4357 | g_loss: 4.7599
2023-06-03 23:04:54 | Epoch [32/50] | Batch 50/509 | d_loss: 0.3610 | g_loss: 4.4770
2023-06-03 23:04:56 | Epoch [32/50] | Batch 55/509 | d_loss: 0.5106 | g_loss: 3.2594
2023-06-03 23:04:57 | Epoch [32/50] | Batch 60/509 | d_loss: 0.3918 | g_loss: 3.3518
2023-06-03 23:04:59 | Epoch [32/50] | Batch 65/509 | d_loss: 0.3862 | g_loss: 4.0406
2023-06-03 23:05:01 | Epoch [32/50] | Batch 70/509 | d_loss: 0.4001 | g_loss: 3.7873
2023-06-03 23:05:02 | Epoch [32/50] | Batch 75/509 | d_loss: 0.4420 | g_loss: 4.3376
2023-06-03 23:05:04 | Epoch [32/50] | Batch 80/509 | d_loss: 0.4187 | g_loss: 4.6964
2023-06-03 23:05:06 | Epoch [32/50] | Batch 85/509 | d_loss: 0.4439 | g_loss: 6.2148
2023-06-03 23:05:07 | Epoch [32/50] | Batch 90/509 | d_loss: 0.4105 | g_loss: 4.4182
2023-06-03 23:05:09 | Epoch [32/50] | Batch 95/509 | d_loss: 0.3757 | g_loss: 3.9908
2023-06-03 23:05:10 | Epoch [32/50] | Batch 100/509 | d_loss: 0.4901 | g_loss: 3.7390
2023-06-03 23:05:12 | Epoch [32/50] | Batch 105/509 | d_loss: 0.3943 | g_loss: 4.1524
2023-06-03 23:05:14 | Epoch [32/50] | Batch 110/509 | d_loss: 0.3727 | g_loss: 3.6468
2023-06-03 23:05:15 | Epoch [32/50] | Batch 115/509 | d_loss: 0.4946 | g_loss: 4.8723
2023-06-03 23:05:17 | Epoch [32/50] | Batch 120/509 | d_loss: 0.3750 | g_loss: 4.9851
2023-06-03 23:05:19 | Epoch [32/50] | Batch 125/509 | d_loss: 0.3508 | g_loss: 4.6706
2023-06-03 23:05:20 | Epoch [32/50] | Batch 130/509 | d_loss: 0.5988 | g_loss: 3.9393
2023-06-03 23:05:22 | Epoch [32/50] | Batch 135/509 | d_loss: 0.4673 | g_loss: 3.8662
2023-06-03 23:05:24 | Epoch [32/50] | Batch 140/509 | d_loss: 0.3605 | g_loss: 5.0639
2023-06-03 23:05:25 | Epoch [32/50] | Batch 145/509 | d_loss: 0.3811 | g_loss: 5.0423
2023-06-03 23:05:27 | Epoch [32/50] | Batch 150/509 | d_loss: 0.8672 | g_loss: 3.4479
2023-06-03 23:05:28 | Epoch [32/50] | Batch 155/509 | d_loss: 0.9250 | g_loss: 1.0760
2023-06-03 23:05:30 | Epoch [32/50] | Batch 160/509 | d_loss: 0.8357 | g_loss: 2.8051
2023-06-03 23:05:32 | Epoch [32/50] | Batch 165/509 | d_loss: 0.8678 | g_loss: 1.5641
2023-06-03 23:05:33 | Epoch [32/50] | Batch 170/509 | d_loss: 0.5230 | g_loss: 4.0555
2023-06-03 23:05:35 | Epoch [32/50] | Batch 175/509 | d_loss: 0.5962 | g_loss: 3.4351
2023-06-03 23:05:37 | Epoch [32/50] | Batch 180/509 | d_loss: 0.6217 | g_loss: 2.8518
2023-06-03 23:05:38 | Epoch [32/50] | Batch 185/509 | d_loss: 0.5567 | g_loss: 3.5354
2023-06-03 23:05:40 | Epoch [32/50] | Batch 190/509 | d_loss: 0.4386 | g_loss: 4.3240
2023-06-03 23:05:42 | Epoch [32/50] | Batch 195/509 | d_loss: 0.4934 | g_loss: 3.1234
2023-06-03 23:05:43 | Epoch [32/50] | Batch 200/509 | d_loss: 0.4925 | g_loss: 2.9727
2023-06-03 23:05:45 | Epoch [32/50] | Batch 205/509 | d_loss: 0.4297 | g_loss: 3.3188
2023-06-03 23:05:47 | Epoch [32/50] | Batch 210/509 | d_loss: 0.4236 | g_loss: 2.9965
2023-06-03 23:05:48 | Epoch [32/50] | Batch 215/509 | d_loss: 0.3946 | g_loss: 3.7144
2023-06-03 23:05:50 | Epoch [32/50] | Batch 220/509 | d_loss: 0.3807 | g_loss: 4.3371
2023-06-03 23:05:51 | Epoch [32/50] | Batch 225/509 | d_loss: 0.4295 | g_loss: 3.5297
2023-06-03 23:05:53 | Epoch [32/50] | Batch 230/509 | d_loss: 0.4534 | g_loss: 4.0003
2023-06-03 23:05:55 | Epoch [32/50] | Batch 235/509 | d_loss: 0.4146 | g_loss: 4.3006
2023-06-03 23:05:56 | Epoch [32/50] | Batch 240/509 | d_loss: 0.4178 | g_loss: 4.6643
2023-06-03 23:05:58 | Epoch [32/50] | Batch 245/509 | d_loss: 0.4359 | g_loss: 3.4062
2023-06-03 23:06:00 | Epoch [32/50] | Batch 250/509 | d_loss: 0.3903 | g_loss: 4.0819
2023-06-03 23:06:01 | Epoch [32/50] | Batch 255/509 | d_loss: 0.3729 | g_loss: 4.0449
2023-06-03 23:06:03 | Epoch [32/50] | Batch 260/509 | d_loss: 0.3515 | g_loss: 7.0115
2023-06-03 23:06:05 | Epoch [32/50] | Batch 265/509 | d_loss: 0.5211 | g_loss: 5.1679
2023-06-03 23:06:06 | Epoch [32/50] | Batch 270/509 | d_loss: 0.3846 | g_loss: 3.7353
2023-06-03 23:06:08 | Epoch [32/50] | Batch 275/509 | d_loss: 0.4265 | g_loss: 3.9117
2023-06-03 23:06:09 | Epoch [32/50] | Batch 280/509 | d_loss: 0.4240 | g_loss: 3.7903
2023-06-03 23:06:11 | Epoch [32/50] | Batch 285/509 | d_loss: 0.5142 | g_loss: 4.6574
2023-06-03 23:06:13 | Epoch [32/50] | Batch 290/509 | d_loss: 0.6269 | g_loss: 2.6491
2023-06-03 23:06:14 | Epoch [32/50] | Batch 295/509 | d_loss: 0.3786 | g_loss: 4.0941
2023-06-03 23:06:16 | Epoch [32/50] | Batch 300/509 | d_loss: 0.3668 | g_loss: 4.0299
2023-06-03 23:06:18 | Epoch [32/50] | Batch 305/509 | d_loss: 0.4107 | g_loss: 3.0710
2023-06-03 23:06:19 | Epoch [32/50] | Batch 310/509 | d_loss: 0.5145 | g_loss: 5.9237
2023-06-03 23:06:21 | Epoch [32/50] | Batch 315/509 | d_loss: 0.4061 | g_loss: 3.9055
2023-06-03 23:06:23 | Epoch [32/50] | Batch 320/509 | d_loss: 0.3633 | g_loss: 4.5424
2023-06-03 23:06:24 | Epoch [32/50] | Batch 325/509 | d_loss: 0.3574 | g_loss: 3.8330
2023-06-03 23:06:26 | Epoch [32/50] | Batch 330/509 | d_loss: 0.4135 | g_loss: 3.4896
2023-06-03 23:06:27 | Epoch [32/50] | Batch 335/509 | d_loss: 0.3839 | g_loss: 4.7317
2023-06-03 23:06:29 | Epoch [32/50] | Batch 340/509 | d_loss: 0.4268 | g_loss: 6.1969
2023-06-03 23:06:31 | Epoch [32/50] | Batch 345/509 | d_loss: 0.6072 | g_loss: 4.1777
2023-06-03 23:06:32 | Epoch [32/50] | Batch 350/509 | d_loss: 0.3798 | g_loss: 4.8333
2023-06-03 23:06:34 | Epoch [32/50] | Batch 355/509 | d_loss: 0.3799 | g_loss: 5.0512
2023-06-03 23:06:36 | Epoch [32/50] | Batch 360/509 | d_loss: 0.3836 | g_loss: 4.4369
2023-06-03 23:06:37 | Epoch [32/50] | Batch 365/509 | d_loss: 0.4002 | g_loss: 4.7563
2023-06-03 23:06:39 | Epoch [32/50] | Batch 370/509 | d_loss: 0.3556 | g_loss: 5.0293
2023-06-03 23:06:41 | Epoch [32/50] | Batch 375/509 | d_loss: 0.3704 | g_loss: 4.2348
2023-06-03 23:06:42 | Epoch [32/50] | Batch 380/509 | d_loss: 0.3747 | g_loss: 4.8205
2023-06-03 23:06:44 | Epoch [32/50] | Batch 385/509 | d_loss: 0.3785 | g_loss: 5.0026
2023-06-03 23:06:45 | Epoch [32/50] | Batch 390/509 | d_loss: 0.3727 | g_loss: 4.3966
2023-06-03 23:06:47 | Epoch [32/50] | Batch 395/509 | d_loss: 0.4380 | g_loss: 3.7381
2023-06-03 23:06:49 | Epoch [32/50] | Batch 400/509 | d_loss: 0.3549 | g_loss: 5.4944
2023-06-03 23:06:50 | Epoch [32/50] | Batch 405/509 | d_loss: 0.3673 | g_loss: 5.4219
2023-06-03 23:06:52 | Epoch [32/50] | Batch 410/509 | d_loss: 0.3944 | g_loss: 3.8273
2023-06-03 23:06:54 | Epoch [32/50] | Batch 415/509 | d_loss: 0.4674 | g_loss: 2.2927
2023-06-03 23:06:55 | Epoch [32/50] | Batch 420/509 | d_loss: 0.3588 | g_loss: 5.3089
2023-06-03 23:06:57 | Epoch [32/50] | Batch 425/509 | d_loss: 0.3883 | g_loss: 4.3564
2023-06-03 23:06:59 | Epoch [32/50] | Batch 430/509 | d_loss: 0.3853 | g_loss: 5.2337
2023-06-03 23:07:00 | Epoch [32/50] | Batch 435/509 | d_loss: 0.3917 | g_loss: 3.8659
2023-06-03 23:07:02 | Epoch [32/50] | Batch 440/509 | d_loss: 0.3701 | g_loss: 3.7797
2023-06-03 23:07:04 | Epoch [32/50] | Batch 445/509 | d_loss: 0.3762 | g_loss: 4.1241
2023-06-03 23:07:05 | Epoch [32/50] | Batch 450/509 | d_loss: 0.3519 | g_loss: 4.7692
2023-06-03 23:07:07 | Epoch [32/50] | Batch 455/509 | d_loss: 0.3641 | g_loss: 4.4707
2023-06-03 23:07:08 | Epoch [32/50] | Batch 460/509 | d_loss: 0.3588 | g_loss: 5.3705
2023-06-03 23:07:10 | Epoch [32/50] | Batch 465/509 | d_loss: 0.3907 | g_loss: 4.5878
2023-06-03 23:07:12 | Epoch [32/50] | Batch 470/509 | d_loss: 0.3543 | g_loss: 7.1804
2023-06-03 23:07:13 | Epoch [32/50] | Batch 475/509 | d_loss: 0.3798 | g_loss: 4.8734
2023-06-03 23:07:15 | Epoch [32/50] | Batch 480/509 | d_loss: 0.4231 | g_loss: 3.2886
2023-06-03 23:07:17 | Epoch [32/50] | Batch 485/509 | d_loss: 0.3715 | g_loss: 5.5180
2023-06-03 23:07:18 | Epoch [32/50] | Batch 490/509 | d_loss: 0.3789 | g_loss: 4.6641
2023-06-03 23:07:20 | Epoch [32/50] | Batch 495/509 | d_loss: 0.3833 | g_loss: 5.5215
2023-06-03 23:07:22 | Epoch [32/50] | Batch 500/509 | d_loss: 0.3581 | g_loss: 4.4647
2023-06-03 23:07:23 | Epoch [32/50] | Batch 505/509 | d_loss: 0.5780 | g_loss: 3.1299

2023-06-03 23:07:26 | Epoch [33/50] | Batch 0/509 | d_loss: 0.4738 | g_loss: 4.7506
2023-06-03 23:07:27 | Epoch [33/50] | Batch 5/509 | d_loss: 0.3701 | g_loss: 4.3543
2023-06-03 23:07:29 | Epoch [33/50] | Batch 10/509 | d_loss: 0.3680 | g_loss: 3.9430
2023-06-03 23:07:31 | Epoch [33/50] | Batch 15/509 | d_loss: 0.4096 | g_loss: 4.2415
2023-06-03 23:07:32 | Epoch [33/50] | Batch 20/509 | d_loss: 0.3968 | g_loss: 4.6960
2023-06-03 23:07:34 | Epoch [33/50] | Batch 25/509 | d_loss: 0.3550 | g_loss: 5.1501
2023-06-03 23:07:36 | Epoch [33/50] | Batch 30/509 | d_loss: 0.4524 | g_loss: 3.7642
2023-06-03 23:07:37 | Epoch [33/50] | Batch 35/509 | d_loss: 1.4351 | g_loss: 1.9157
2023-06-03 23:07:39 | Epoch [33/50] | Batch 40/509 | d_loss: 0.5890 | g_loss: 1.7503
2023-06-03 23:07:40 | Epoch [33/50] | Batch 45/509 | d_loss: 0.6977 | g_loss: 2.6752
2023-06-03 23:07:42 | Epoch [33/50] | Batch 50/509 | d_loss: 0.5274 | g_loss: 3.1542
2023-06-03 23:07:44 | Epoch [33/50] | Batch 55/509 | d_loss: 0.5252 | g_loss: 3.0320
2023-06-03 23:07:45 | Epoch [33/50] | Batch 60/509 | d_loss: 0.5186 | g_loss: 3.5247
2023-06-03 23:07:47 | Epoch [33/50] | Batch 65/509 | d_loss: 0.5917 | g_loss: 4.0548
2023-06-03 23:07:49 | Epoch [33/50] | Batch 70/509 | d_loss: 0.3968 | g_loss: 4.4903
2023-06-03 23:07:50 | Epoch [33/50] | Batch 75/509 | d_loss: 0.3914 | g_loss: 3.7944
2023-06-03 23:07:52 | Epoch [33/50] | Batch 80/509 | d_loss: 0.4058 | g_loss: 4.9741
2023-06-03 23:07:54 | Epoch [33/50] | Batch 85/509 | d_loss: 0.3821 | g_loss: 3.4964
2023-06-03 23:07:55 | Epoch [33/50] | Batch 90/509 | d_loss: 0.3739 | g_loss: 4.0654
2023-06-03 23:07:57 | Epoch [33/50] | Batch 95/509 | d_loss: 0.3714 | g_loss: 3.1711
2023-06-03 23:07:59 | Epoch [33/50] | Batch 100/509 | d_loss: 0.3798 | g_loss: 3.9905
2023-06-03 23:08:00 | Epoch [33/50] | Batch 105/509 | d_loss: 1.5380 | g_loss: 1.9849
2023-06-03 23:08:02 | Epoch [33/50] | Batch 110/509 | d_loss: 0.5099 | g_loss: 3.1819
2023-06-03 23:08:03 | Epoch [33/50] | Batch 115/509 | d_loss: 0.6380 | g_loss: 2.5234
2023-06-03 23:08:05 | Epoch [33/50] | Batch 120/509 | d_loss: 0.4683 | g_loss: 2.3347
2023-06-03 23:08:07 | Epoch [33/50] | Batch 125/509 | d_loss: 0.5324 | g_loss: 3.9187
2023-06-03 23:08:08 | Epoch [33/50] | Batch 130/509 | d_loss: 0.4525 | g_loss: 3.5663
2023-06-03 23:08:10 | Epoch [33/50] | Batch 135/509 | d_loss: 0.5357 | g_loss: 2.7736
2023-06-03 23:08:12 | Epoch [33/50] | Batch 140/509 | d_loss: 0.4064 | g_loss: 2.9009
2023-06-03 23:08:13 | Epoch [33/50] | Batch 145/509 | d_loss: 0.3787 | g_loss: 3.6695
2023-06-03 23:08:15 | Epoch [33/50] | Batch 150/509 | d_loss: 0.4734 | g_loss: 4.3232
2023-06-03 23:08:17 | Epoch [33/50] | Batch 155/509 | d_loss: 0.3943 | g_loss: 4.2797
2023-06-03 23:08:18 | Epoch [33/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 4.7189
2023-06-03 23:08:20 | Epoch [33/50] | Batch 165/509 | d_loss: 0.7388 | g_loss: 3.7227
2023-06-03 23:08:21 | Epoch [33/50] | Batch 170/509 | d_loss: 0.4165 | g_loss: 2.9461
2023-06-03 23:08:23 | Epoch [33/50] | Batch 175/509 | d_loss: 0.5181 | g_loss: 4.5018
2023-06-03 23:08:25 | Epoch [33/50] | Batch 180/509 | d_loss: 0.3952 | g_loss: 6.0349
2023-06-03 23:08:26 | Epoch [33/50] | Batch 185/509 | d_loss: 0.4091 | g_loss: 3.9692
2023-06-03 23:08:28 | Epoch [33/50] | Batch 190/509 | d_loss: 0.4103 | g_loss: 3.1706
2023-06-03 23:08:30 | Epoch [33/50] | Batch 195/509 | d_loss: 0.5095 | g_loss: 5.3437
2023-06-03 23:08:31 | Epoch [33/50] | Batch 200/509 | d_loss: 0.3795 | g_loss: 4.7875
2023-06-03 23:08:33 | Epoch [33/50] | Batch 205/509 | d_loss: 0.3755 | g_loss: 4.2160
2023-06-03 23:08:35 | Epoch [33/50] | Batch 210/509 | d_loss: 0.4868 | g_loss: 4.0838
2023-06-03 23:08:36 | Epoch [33/50] | Batch 215/509 | d_loss: 0.3663 | g_loss: 4.9139
2023-06-03 23:08:38 | Epoch [33/50] | Batch 220/509 | d_loss: 0.4492 | g_loss: 5.7560
2023-06-03 23:08:39 | Epoch [33/50] | Batch 225/509 | d_loss: 0.4062 | g_loss: 4.0306
2023-06-03 23:08:41 | Epoch [33/50] | Batch 230/509 | d_loss: 0.3795 | g_loss: 4.1492
2023-06-03 23:08:43 | Epoch [33/50] | Batch 235/509 | d_loss: 0.3942 | g_loss: 4.0616
2023-06-03 23:08:44 | Epoch [33/50] | Batch 240/509 | d_loss: 0.4587 | g_loss: 4.2247
2023-06-03 23:08:46 | Epoch [33/50] | Batch 245/509 | d_loss: 0.4002 | g_loss: 3.8068
2023-06-03 23:08:48 | Epoch [33/50] | Batch 250/509 | d_loss: 0.3719 | g_loss: 4.6283
2023-06-03 23:08:49 | Epoch [33/50] | Batch 255/509 | d_loss: 0.4058 | g_loss: 3.7772
2023-06-03 23:08:51 | Epoch [33/50] | Batch 260/509 | d_loss: 0.4252 | g_loss: 5.9285
2023-06-03 23:08:53 | Epoch [33/50] | Batch 265/509 | d_loss: 0.3564 | g_loss: 4.4903
2023-06-03 23:08:54 | Epoch [33/50] | Batch 270/509 | d_loss: 0.3707 | g_loss: 5.6935
2023-06-03 23:08:56 | Epoch [33/50] | Batch 275/509 | d_loss: 0.3637 | g_loss: 4.5008
2023-06-03 23:08:57 | Epoch [33/50] | Batch 280/509 | d_loss: 0.4384 | g_loss: 2.9966
2023-06-03 23:08:59 | Epoch [33/50] | Batch 285/509 | d_loss: 0.3626 | g_loss: 4.4552
2023-06-03 23:09:01 | Epoch [33/50] | Batch 290/509 | d_loss: 0.4934 | g_loss: 3.7080
2023-06-03 23:09:02 | Epoch [33/50] | Batch 295/509 | d_loss: 0.4051 | g_loss: 5.2189
2023-06-03 23:09:04 | Epoch [33/50] | Batch 300/509 | d_loss: 0.4281 | g_loss: 4.0299
2023-06-03 23:09:06 | Epoch [33/50] | Batch 305/509 | d_loss: 0.4124 | g_loss: 5.3249
2023-06-03 23:09:07 | Epoch [33/50] | Batch 310/509 | d_loss: 0.3599 | g_loss: 6.7474
2023-06-03 23:09:09 | Epoch [33/50] | Batch 315/509 | d_loss: 0.4147 | g_loss: 4.2135
2023-06-03 23:09:11 | Epoch [33/50] | Batch 320/509 | d_loss: 0.3600 | g_loss: 5.3109
2023-06-03 23:09:12 | Epoch [33/50] | Batch 325/509 | d_loss: 0.3781 | g_loss: 4.4920
2023-06-03 23:09:14 | Epoch [33/50] | Batch 330/509 | d_loss: 0.4314 | g_loss: 4.3311
2023-06-03 23:09:16 | Epoch [33/50] | Batch 335/509 | d_loss: 0.4484 | g_loss: 2.7725
2023-06-03 23:09:17 | Epoch [33/50] | Batch 340/509 | d_loss: 0.3688 | g_loss: 5.0806
2023-06-03 23:09:19 | Epoch [33/50] | Batch 345/509 | d_loss: 0.3923 | g_loss: 3.4091
2023-06-03 23:09:20 | Epoch [33/50] | Batch 350/509 | d_loss: 0.5623 | g_loss: 5.5078
2023-06-03 23:09:22 | Epoch [33/50] | Batch 355/509 | d_loss: 0.6116 | g_loss: 5.1676
2023-06-03 23:09:24 | Epoch [33/50] | Batch 360/509 | d_loss: 0.8226 | g_loss: 2.5126
2023-06-03 23:09:25 | Epoch [33/50] | Batch 365/509 | d_loss: 0.5046 | g_loss: 3.6369
2023-06-03 23:09:27 | Epoch [33/50] | Batch 370/509 | d_loss: 0.4237 | g_loss: 3.9215
2023-06-03 23:09:29 | Epoch [33/50] | Batch 375/509 | d_loss: 0.4573 | g_loss: 3.4304
2023-06-03 23:09:30 | Epoch [33/50] | Batch 380/509 | d_loss: 0.4260 | g_loss: 3.8261
2023-06-03 23:09:32 | Epoch [33/50] | Batch 385/509 | d_loss: 0.3942 | g_loss: 4.1741
2023-06-03 23:09:34 | Epoch [33/50] | Batch 390/509 | d_loss: 0.3686 | g_loss: 6.1017
2023-06-03 23:09:35 | Epoch [33/50] | Batch 395/509 | d_loss: 0.4365 | g_loss: 3.7766
2023-06-03 23:09:37 | Epoch [33/50] | Batch 400/509 | d_loss: 0.4603 | g_loss: 2.5788
2023-06-03 23:09:38 | Epoch [33/50] | Batch 405/509 | d_loss: 0.3811 | g_loss: 4.5129
2023-06-03 23:09:40 | Epoch [33/50] | Batch 410/509 | d_loss: 0.4148 | g_loss: 4.6568
2023-06-03 23:09:42 | Epoch [33/50] | Batch 415/509 | d_loss: 0.3692 | g_loss: 5.0433
2023-06-03 23:09:43 | Epoch [33/50] | Batch 420/509 | d_loss: 0.4284 | g_loss: 4.0378
2023-06-03 23:09:45 | Epoch [33/50] | Batch 425/509 | d_loss: 0.4133 | g_loss: 3.5021
2023-06-03 23:09:47 | Epoch [33/50] | Batch 430/509 | d_loss: 0.4038 | g_loss: 3.9698
2023-06-03 23:09:48 | Epoch [33/50] | Batch 435/509 | d_loss: 0.3605 | g_loss: 4.0194
2023-06-03 23:09:50 | Epoch [33/50] | Batch 440/509 | d_loss: 0.3652 | g_loss: 5.1396
2023-06-03 23:09:52 | Epoch [33/50] | Batch 445/509 | d_loss: 0.3646 | g_loss: 4.8879
2023-06-03 23:09:53 | Epoch [33/50] | Batch 450/509 | d_loss: 0.3979 | g_loss: 3.9619
2023-06-03 23:09:55 | Epoch [33/50] | Batch 455/509 | d_loss: 1.4494 | g_loss: 8.5710
2023-06-03 23:09:56 | Epoch [33/50] | Batch 460/509 | d_loss: 0.3845 | g_loss: 4.9804
2023-06-03 23:09:58 | Epoch [33/50] | Batch 465/509 | d_loss: 0.3737 | g_loss: 4.3293
2023-06-03 23:10:00 | Epoch [33/50] | Batch 470/509 | d_loss: 0.4237 | g_loss: 3.1078
2023-06-03 23:10:01 | Epoch [33/50] | Batch 475/509 | d_loss: 0.4011 | g_loss: 3.5599
2023-06-03 23:10:03 | Epoch [33/50] | Batch 480/509 | d_loss: 0.3798 | g_loss: 4.5754
2023-06-03 23:10:05 | Epoch [33/50] | Batch 485/509 | d_loss: 0.3783 | g_loss: 4.3152
2023-06-03 23:10:06 | Epoch [33/50] | Batch 490/509 | d_loss: 0.6506 | g_loss: 5.6614
2023-06-03 23:10:08 | Epoch [33/50] | Batch 495/509 | d_loss: 0.3791 | g_loss: 4.7080
2023-06-03 23:10:10 | Epoch [33/50] | Batch 500/509 | d_loss: 0.3610 | g_loss: 5.7028
2023-06-03 23:10:11 | Epoch [33/50] | Batch 505/509 | d_loss: 0.3726 | g_loss: 5.0299

2023-06-03 23:10:14 | Epoch [34/50] | Batch 0/509 | d_loss: 0.3604 | g_loss: 5.3415
2023-06-03 23:10:15 | Epoch [34/50] | Batch 5/509 | d_loss: 0.3620 | g_loss: 5.1130
2023-06-03 23:10:17 | Epoch [34/50] | Batch 10/509 | d_loss: 0.3656 | g_loss: 4.1398
2023-06-03 23:10:19 | Epoch [34/50] | Batch 15/509 | d_loss: 0.3768 | g_loss: 5.0433
2023-06-03 23:10:20 | Epoch [34/50] | Batch 20/509 | d_loss: 0.4300 | g_loss: 4.3766
2023-06-03 23:10:22 | Epoch [34/50] | Batch 25/509 | d_loss: 0.3502 | g_loss: 5.8471
2023-06-03 23:10:23 | Epoch [34/50] | Batch 30/509 | d_loss: 0.3609 | g_loss: 4.9726
2023-06-03 23:10:25 | Epoch [34/50] | Batch 35/509 | d_loss: 0.3777 | g_loss: 5.7743
2023-06-03 23:10:27 | Epoch [34/50] | Batch 40/509 | d_loss: 0.4154 | g_loss: 3.8698
2023-06-03 23:10:28 | Epoch [34/50] | Batch 45/509 | d_loss: 0.4085 | g_loss: 3.5575
2023-06-03 23:10:30 | Epoch [34/50] | Batch 50/509 | d_loss: 0.3888 | g_loss: 4.3849
2023-06-03 23:10:32 | Epoch [34/50] | Batch 55/509 | d_loss: 0.4495 | g_loss: 6.4952
2023-06-03 23:10:33 | Epoch [34/50] | Batch 60/509 | d_loss: 0.3769 | g_loss: 5.4525
2023-06-03 23:10:35 | Epoch [34/50] | Batch 65/509 | d_loss: 0.3636 | g_loss: 3.1010
2023-06-03 23:10:37 | Epoch [34/50] | Batch 70/509 | d_loss: 0.3895 | g_loss: 4.1430
2023-06-03 23:10:38 | Epoch [34/50] | Batch 75/509 | d_loss: 0.3796 | g_loss: 3.4597
2023-06-03 23:10:40 | Epoch [34/50] | Batch 80/509 | d_loss: 0.3456 | g_loss: 5.1570
2023-06-03 23:10:42 | Epoch [34/50] | Batch 85/509 | d_loss: 0.3521 | g_loss: 4.2557
2023-06-03 23:10:43 | Epoch [34/50] | Batch 90/509 | d_loss: 0.3658 | g_loss: 4.9110
2023-06-03 23:10:45 | Epoch [34/50] | Batch 95/509 | d_loss: 0.3698 | g_loss: 4.4012
2023-06-03 23:10:46 | Epoch [34/50] | Batch 100/509 | d_loss: 0.6759 | g_loss: 2.2685
2023-06-03 23:10:48 | Epoch [34/50] | Batch 105/509 | d_loss: 0.4525 | g_loss: 2.5782
2023-06-03 23:10:50 | Epoch [34/50] | Batch 110/509 | d_loss: 0.4266 | g_loss: 5.2410
2023-06-03 23:10:51 | Epoch [34/50] | Batch 115/509 | d_loss: 0.3871 | g_loss: 3.9714
2023-06-03 23:10:53 | Epoch [34/50] | Batch 120/509 | d_loss: 0.4607 | g_loss: 4.1583
2023-06-03 23:10:55 | Epoch [34/50] | Batch 125/509 | d_loss: 0.4121 | g_loss: 4.4466
2023-06-03 23:10:56 | Epoch [34/50] | Batch 130/509 | d_loss: 0.4506 | g_loss: 3.8472
2023-06-03 23:10:58 | Epoch [34/50] | Batch 135/509 | d_loss: 0.3758 | g_loss: 3.8227
2023-06-03 23:11:00 | Epoch [34/50] | Batch 140/509 | d_loss: 0.5046 | g_loss: 3.4511
2023-06-03 23:11:01 | Epoch [34/50] | Batch 145/509 | d_loss: 0.3903 | g_loss: 5.6275
2023-06-03 23:11:03 | Epoch [34/50] | Batch 150/509 | d_loss: 0.5005 | g_loss: 3.4185
2023-06-03 23:11:04 | Epoch [34/50] | Batch 155/509 | d_loss: 0.3767 | g_loss: 4.1365
2023-06-03 23:11:06 | Epoch [34/50] | Batch 160/509 | d_loss: 0.3663 | g_loss: 4.3636
2023-06-03 23:11:08 | Epoch [34/50] | Batch 165/509 | d_loss: 0.3917 | g_loss: 3.2755
2023-06-03 23:11:09 | Epoch [34/50] | Batch 170/509 | d_loss: 0.4077 | g_loss: 3.8533
2023-06-03 23:11:11 | Epoch [34/50] | Batch 175/509 | d_loss: 0.5148 | g_loss: 3.2928
2023-06-03 23:11:13 | Epoch [34/50] | Batch 180/509 | d_loss: 0.3768 | g_loss: 4.8150
2023-06-03 23:11:14 | Epoch [34/50] | Batch 185/509 | d_loss: 0.3635 | g_loss: 4.6566
2023-06-03 23:11:16 | Epoch [34/50] | Batch 190/509 | d_loss: 0.4283 | g_loss: 3.8686
2023-06-03 23:11:18 | Epoch [34/50] | Batch 195/509 | d_loss: 0.3559 | g_loss: 5.0517
2023-06-03 23:11:19 | Epoch [34/50] | Batch 200/509 | d_loss: 0.4125 | g_loss: 3.0667
2023-06-03 23:11:21 | Epoch [34/50] | Batch 205/509 | d_loss: 0.3812 | g_loss: 4.1148
2023-06-03 23:11:23 | Epoch [34/50] | Batch 210/509 | d_loss: 0.3489 | g_loss: 4.7363
2023-06-03 23:11:24 | Epoch [34/50] | Batch 215/509 | d_loss: 0.3843 | g_loss: 4.3555
2023-06-03 23:11:26 | Epoch [34/50] | Batch 220/509 | d_loss: 0.3439 | g_loss: 4.5412
2023-06-03 23:11:27 | Epoch [34/50] | Batch 225/509 | d_loss: 0.7171 | g_loss: 0.8418
2023-06-03 23:11:29 | Epoch [34/50] | Batch 230/509 | d_loss: 0.5175 | g_loss: 5.3592
2023-06-03 23:11:31 | Epoch [34/50] | Batch 235/509 | d_loss: 0.4077 | g_loss: 4.5395
2023-06-03 23:11:32 | Epoch [34/50] | Batch 240/509 | d_loss: 0.5333 | g_loss: 4.1113
2023-06-03 23:11:34 | Epoch [34/50] | Batch 245/509 | d_loss: 0.3668 | g_loss: 5.4791
2023-06-03 23:11:36 | Epoch [34/50] | Batch 250/509 | d_loss: 0.3818 | g_loss: 4.3907
2023-06-03 23:11:37 | Epoch [34/50] | Batch 255/509 | d_loss: 0.3754 | g_loss: 4.4327
2023-06-03 23:11:39 | Epoch [34/50] | Batch 260/509 | d_loss: 0.3565 | g_loss: 4.8896
2023-06-03 23:11:41 | Epoch [34/50] | Batch 265/509 | d_loss: 0.3734 | g_loss: 5.0829
2023-06-03 23:11:42 | Epoch [34/50] | Batch 270/509 | d_loss: 0.3406 | g_loss: 6.6109
2023-06-03 23:11:44 | Epoch [34/50] | Batch 275/509 | d_loss: 0.4286 | g_loss: 3.3702
2023-06-03 23:11:45 | Epoch [34/50] | Batch 280/509 | d_loss: 0.5700 | g_loss: 4.1713
2023-06-03 23:11:47 | Epoch [34/50] | Batch 285/509 | d_loss: 1.2962 | g_loss: 2.1566
2023-06-03 23:11:49 | Epoch [34/50] | Batch 290/509 | d_loss: 0.4375 | g_loss: 3.8275
2023-06-03 23:11:50 | Epoch [34/50] | Batch 295/509 | d_loss: 0.4540 | g_loss: 4.4444
2023-06-03 23:11:52 | Epoch [34/50] | Batch 300/509 | d_loss: 0.4985 | g_loss: 2.7447
2023-06-03 23:11:54 | Epoch [34/50] | Batch 305/509 | d_loss: 0.4296 | g_loss: 3.2244
2023-06-03 23:11:55 | Epoch [34/50] | Batch 310/509 | d_loss: 0.3998 | g_loss: 4.1262
2023-06-03 23:11:57 | Epoch [34/50] | Batch 315/509 | d_loss: 0.4357 | g_loss: 4.1216
2023-06-03 23:11:59 | Epoch [34/50] | Batch 320/509 | d_loss: 0.4430 | g_loss: 3.0966
2023-06-03 23:12:00 | Epoch [34/50] | Batch 325/509 | d_loss: 0.4309 | g_loss: 3.5195
2023-06-03 23:12:02 | Epoch [34/50] | Batch 330/509 | d_loss: 0.4209 | g_loss: 4.7509
2023-06-03 23:12:03 | Epoch [34/50] | Batch 335/509 | d_loss: 0.3761 | g_loss: 3.4212
2023-06-03 23:12:05 | Epoch [34/50] | Batch 340/509 | d_loss: 0.5814 | g_loss: 3.0106
2023-06-03 23:12:07 | Epoch [34/50] | Batch 345/509 | d_loss: 0.3869 | g_loss: 4.5769
2023-06-03 23:12:08 | Epoch [34/50] | Batch 350/509 | d_loss: 0.3823 | g_loss: 4.2954
2023-06-03 23:12:10 | Epoch [34/50] | Batch 355/509 | d_loss: 0.3970 | g_loss: 5.5226
2023-06-03 23:12:12 | Epoch [34/50] | Batch 360/509 | d_loss: 0.4407 | g_loss: 3.8907
2023-06-03 23:12:13 | Epoch [34/50] | Batch 365/509 | d_loss: 0.3901 | g_loss: 4.0175
2023-06-03 23:12:15 | Epoch [34/50] | Batch 370/509 | d_loss: 0.3820 | g_loss: 4.0192
2023-06-03 23:12:17 | Epoch [34/50] | Batch 375/509 | d_loss: 0.4956 | g_loss: 4.0924
2023-06-03 23:12:18 | Epoch [34/50] | Batch 380/509 | d_loss: 0.3631 | g_loss: 4.2252
2023-06-03 23:12:20 | Epoch [34/50] | Batch 385/509 | d_loss: 0.4250 | g_loss: 3.9913
2023-06-03 23:12:21 | Epoch [34/50] | Batch 390/509 | d_loss: 0.3483 | g_loss: 6.8618
2023-06-03 23:12:23 | Epoch [34/50] | Batch 395/509 | d_loss: 0.3618 | g_loss: 5.6215
2023-06-03 23:12:25 | Epoch [34/50] | Batch 400/509 | d_loss: 0.3789 | g_loss: 4.7752
2023-06-03 23:12:26 | Epoch [34/50] | Batch 405/509 | d_loss: 0.3460 | g_loss: 5.1137
2023-06-03 23:12:28 | Epoch [34/50] | Batch 410/509 | d_loss: 0.3809 | g_loss: 4.9942
2023-06-03 23:12:30 | Epoch [34/50] | Batch 415/509 | d_loss: 0.3773 | g_loss: 3.8052
2023-06-03 23:12:31 | Epoch [34/50] | Batch 420/509 | d_loss: 0.3660 | g_loss: 4.8104
2023-06-03 23:12:33 | Epoch [34/50] | Batch 425/509 | d_loss: 0.3771 | g_loss: 4.6822
2023-06-03 23:12:35 | Epoch [34/50] | Batch 430/509 | d_loss: 0.4262 | g_loss: 3.8508
2023-06-03 23:12:36 | Epoch [34/50] | Batch 435/509 | d_loss: 0.3801 | g_loss: 4.2042
2023-06-03 23:12:38 | Epoch [34/50] | Batch 440/509 | d_loss: 0.3572 | g_loss: 4.8319
2023-06-03 23:12:40 | Epoch [34/50] | Batch 445/509 | d_loss: 0.6149 | g_loss: 3.1332
2023-06-03 23:12:41 | Epoch [34/50] | Batch 450/509 | d_loss: 0.3733 | g_loss: 5.6232
2023-06-03 23:12:43 | Epoch [34/50] | Batch 455/509 | d_loss: 0.3874 | g_loss: 4.7795
2023-06-03 23:12:44 | Epoch [34/50] | Batch 460/509 | d_loss: 0.3920 | g_loss: 3.1425
2023-06-03 23:12:46 | Epoch [34/50] | Batch 465/509 | d_loss: 0.3789 | g_loss: 3.9067
2023-06-03 23:12:48 | Epoch [34/50] | Batch 470/509 | d_loss: 0.3990 | g_loss: 4.6407
2023-06-03 23:12:49 | Epoch [34/50] | Batch 475/509 | d_loss: 0.3858 | g_loss: 4.0057
2023-06-03 23:12:51 | Epoch [34/50] | Batch 480/509 | d_loss: 0.3475 | g_loss: 5.4639
2023-06-03 23:12:53 | Epoch [34/50] | Batch 485/509 | d_loss: 0.3747 | g_loss: 3.8187
2023-06-03 23:12:54 | Epoch [34/50] | Batch 490/509 | d_loss: 0.3829 | g_loss: 5.9632
2023-06-03 23:12:56 | Epoch [34/50] | Batch 495/509 | d_loss: 0.3707 | g_loss: 4.6502
2023-06-03 23:12:58 | Epoch [34/50] | Batch 500/509 | d_loss: 0.3561 | g_loss: 4.3270
2023-06-03 23:12:59 | Epoch [34/50] | Batch 505/509 | d_loss: 0.3709 | g_loss: 4.1760

2023-06-03 23:13:02 | Epoch [35/50] | Batch 0/509 | d_loss: 0.3703 | g_loss: 5.0040
2023-06-03 23:13:03 | Epoch [35/50] | Batch 5/509 | d_loss: 0.9083 | g_loss: 8.6917
2023-06-03 23:13:05 | Epoch [35/50] | Batch 10/509 | d_loss: 0.4871 | g_loss: 3.7237
2023-06-03 23:13:07 | Epoch [35/50] | Batch 15/509 | d_loss: 1.2959 | g_loss: 5.2210
2023-06-03 23:13:08 | Epoch [35/50] | Batch 20/509 | d_loss: 0.5061 | g_loss: 4.8612
2023-06-03 23:13:10 | Epoch [35/50] | Batch 25/509 | d_loss: 0.4319 | g_loss: 3.5515
2023-06-03 23:13:12 | Epoch [35/50] | Batch 30/509 | d_loss: 0.4106 | g_loss: 4.5428
2023-06-03 23:13:13 | Epoch [35/50] | Batch 35/509 | d_loss: 0.3913 | g_loss: 4.4516
2023-06-03 23:13:15 | Epoch [35/50] | Batch 40/509 | d_loss: 0.4022 | g_loss: 3.9198
2023-06-03 23:13:17 | Epoch [35/50] | Batch 45/509 | d_loss: 0.5037 | g_loss: 5.3079
2023-06-03 23:13:18 | Epoch [35/50] | Batch 50/509 | d_loss: 0.4018 | g_loss: 3.4804
2023-06-03 23:13:20 | Epoch [35/50] | Batch 55/509 | d_loss: 0.3801 | g_loss: 5.2525
2023-06-03 23:13:21 | Epoch [35/50] | Batch 60/509 | d_loss: 0.3957 | g_loss: 3.7297
2023-06-03 23:13:23 | Epoch [35/50] | Batch 65/509 | d_loss: 0.5500 | g_loss: 4.8536
2023-06-03 23:13:25 | Epoch [35/50] | Batch 70/509 | d_loss: 0.3766 | g_loss: 5.4506
2023-06-03 23:13:26 | Epoch [35/50] | Batch 75/509 | d_loss: 0.3570 | g_loss: 4.3055
2023-06-03 23:13:28 | Epoch [35/50] | Batch 80/509 | d_loss: 0.3909 | g_loss: 4.5239
2023-06-03 23:13:30 | Epoch [35/50] | Batch 85/509 | d_loss: 0.3641 | g_loss: 3.6878
2023-06-03 23:13:31 | Epoch [35/50] | Batch 90/509 | d_loss: 0.4105 | g_loss: 5.1503
2023-06-03 23:13:33 | Epoch [35/50] | Batch 95/509 | d_loss: 0.3987 | g_loss: 5.7773
2023-06-03 23:13:35 | Epoch [35/50] | Batch 100/509 | d_loss: 0.4265 | g_loss: 4.2752
2023-06-03 23:13:36 | Epoch [35/50] | Batch 105/509 | d_loss: 0.3711 | g_loss: 6.6606
2023-06-03 23:13:38 | Epoch [35/50] | Batch 110/509 | d_loss: 0.3717 | g_loss: 4.2723
2023-06-03 23:13:39 | Epoch [35/50] | Batch 115/509 | d_loss: 0.3495 | g_loss: 3.6484
2023-06-03 23:13:41 | Epoch [35/50] | Batch 120/509 | d_loss: 0.3819 | g_loss: 3.4982
2023-06-03 23:13:43 | Epoch [35/50] | Batch 125/509 | d_loss: 0.3563 | g_loss: 4.2180
2023-06-03 23:13:44 | Epoch [35/50] | Batch 130/509 | d_loss: 0.3889 | g_loss: 4.1483
2023-06-03 23:13:46 | Epoch [35/50] | Batch 135/509 | d_loss: 0.3532 | g_loss: 5.8988
2023-06-03 23:13:48 | Epoch [35/50] | Batch 140/509 | d_loss: 0.3959 | g_loss: 4.3050
2023-06-03 23:13:49 | Epoch [35/50] | Batch 145/509 | d_loss: 0.3598 | g_loss: 4.4007
2023-06-03 23:13:51 | Epoch [35/50] | Batch 150/509 | d_loss: 0.4326 | g_loss: 4.6555
2023-06-03 23:13:53 | Epoch [35/50] | Batch 155/509 | d_loss: 0.3725 | g_loss: 6.0284
2023-06-03 23:13:54 | Epoch [35/50] | Batch 160/509 | d_loss: 0.3527 | g_loss: 4.1041
2023-06-03 23:13:56 | Epoch [35/50] | Batch 165/509 | d_loss: 0.3501 | g_loss: 5.2294
2023-06-03 23:13:57 | Epoch [35/50] | Batch 170/509 | d_loss: 0.4260 | g_loss: 3.7333
2023-06-03 23:13:59 | Epoch [35/50] | Batch 175/509 | d_loss: 0.3573 | g_loss: 4.3052
2023-06-03 23:14:01 | Epoch [35/50] | Batch 180/509 | d_loss: 0.4057 | g_loss: 5.0775
2023-06-03 23:14:02 | Epoch [35/50] | Batch 185/509 | d_loss: 0.3736 | g_loss: 4.2879
2023-06-03 23:14:04 | Epoch [35/50] | Batch 190/509 | d_loss: 0.3801 | g_loss: 3.9798
2023-06-03 23:14:06 | Epoch [35/50] | Batch 195/509 | d_loss: 0.3927 | g_loss: 5.4759
2023-06-03 23:14:07 | Epoch [35/50] | Batch 200/509 | d_loss: 0.4333 | g_loss: 3.8194
2023-06-03 23:14:09 | Epoch [35/50] | Batch 205/509 | d_loss: 0.5520 | g_loss: 3.0748
2023-06-03 23:14:11 | Epoch [35/50] | Batch 210/509 | d_loss: 0.4173 | g_loss: 4.6322
2023-06-03 23:14:12 | Epoch [35/50] | Batch 215/509 | d_loss: 0.4717 | g_loss: 4.9064
2023-06-03 23:14:14 | Epoch [35/50] | Batch 220/509 | d_loss: 0.3627 | g_loss: 5.7373
2023-06-03 23:14:15 | Epoch [35/50] | Batch 225/509 | d_loss: 0.4884 | g_loss: 4.1505
2023-06-03 23:14:17 | Epoch [35/50] | Batch 230/509 | d_loss: 0.3746 | g_loss: 3.9896
2023-06-03 23:14:19 | Epoch [35/50] | Batch 235/509 | d_loss: 0.4591 | g_loss: 5.3606
2023-06-03 23:14:20 | Epoch [35/50] | Batch 240/509 | d_loss: 0.3755 | g_loss: 5.2228
2023-06-03 23:14:22 | Epoch [35/50] | Batch 245/509 | d_loss: 0.5406 | g_loss: 1.6451
2023-06-03 23:14:24 | Epoch [35/50] | Batch 250/509 | d_loss: 0.4468 | g_loss: 5.4354
2023-06-03 23:14:25 | Epoch [35/50] | Batch 255/509 | d_loss: 0.5389 | g_loss: 1.9054
2023-06-03 23:14:27 | Epoch [35/50] | Batch 260/509 | d_loss: 0.4107 | g_loss: 2.9892
2023-06-03 23:14:29 | Epoch [35/50] | Batch 265/509 | d_loss: 0.4499 | g_loss: 4.1240
2023-06-03 23:14:30 | Epoch [35/50] | Batch 270/509 | d_loss: 0.4279 | g_loss: 3.7838
2023-06-03 23:14:32 | Epoch [35/50] | Batch 275/509 | d_loss: 1.3005 | g_loss: 0.5131
2023-06-03 23:14:33 | Epoch [35/50] | Batch 280/509 | d_loss: 0.4388 | g_loss: 3.2120
2023-06-03 23:14:35 | Epoch [35/50] | Batch 285/509 | d_loss: 0.6567 | g_loss: 4.6358
2023-06-03 23:14:37 | Epoch [35/50] | Batch 290/509 | d_loss: 0.6164 | g_loss: 3.4421
2023-06-03 23:14:38 | Epoch [35/50] | Batch 295/509 | d_loss: 0.3667 | g_loss: 4.4955
2023-06-03 23:14:40 | Epoch [35/50] | Batch 300/509 | d_loss: 0.3767 | g_loss: 5.0721
2023-06-03 23:14:42 | Epoch [35/50] | Batch 305/509 | d_loss: 0.4619 | g_loss: 3.9019
2023-06-03 23:14:43 | Epoch [35/50] | Batch 310/509 | d_loss: 0.4005 | g_loss: 6.2612
2023-06-03 23:14:45 | Epoch [35/50] | Batch 315/509 | d_loss: 0.3653 | g_loss: 4.9764
2023-06-03 23:14:47 | Epoch [35/50] | Batch 320/509 | d_loss: 0.4007 | g_loss: 5.6091
2023-06-03 23:14:48 | Epoch [35/50] | Batch 325/509 | d_loss: 0.4965 | g_loss: 4.4657
2023-06-03 23:14:50 | Epoch [35/50] | Batch 330/509 | d_loss: 0.4928 | g_loss: 3.5449
2023-06-03 23:14:51 | Epoch [35/50] | Batch 335/509 | d_loss: 0.3745 | g_loss: 3.5787
2023-06-03 23:14:53 | Epoch [35/50] | Batch 340/509 | d_loss: 0.5145 | g_loss: 2.4244
2023-06-03 23:14:55 | Epoch [35/50] | Batch 345/509 | d_loss: 2.7907 | g_loss: 0.5619
2023-06-03 23:14:56 | Epoch [35/50] | Batch 350/509 | d_loss: 1.6938 | g_loss: 1.2794
2023-06-03 23:14:58 | Epoch [35/50] | Batch 355/509 | d_loss: 0.5349 | g_loss: 3.6193
2023-06-03 23:15:00 | Epoch [35/50] | Batch 360/509 | d_loss: 0.4967 | g_loss: 2.3888
2023-06-03 23:15:01 | Epoch [35/50] | Batch 365/509 | d_loss: 0.4965 | g_loss: 2.5569
2023-06-03 23:15:03 | Epoch [35/50] | Batch 370/509 | d_loss: 0.5643 | g_loss: 3.1771
2023-06-03 23:15:05 | Epoch [35/50] | Batch 375/509 | d_loss: 0.7140 | g_loss: 0.9014
2023-06-03 23:15:06 | Epoch [35/50] | Batch 380/509 | d_loss: 0.4452 | g_loss: 3.6509
2023-06-03 23:15:08 | Epoch [35/50] | Batch 385/509 | d_loss: 0.6682 | g_loss: 3.1069
2023-06-03 23:15:10 | Epoch [35/50] | Batch 390/509 | d_loss: 0.4868 | g_loss: 3.7079
2023-06-03 23:15:11 | Epoch [35/50] | Batch 395/509 | d_loss: 0.4455 | g_loss: 4.3074
2023-06-03 23:15:13 | Epoch [35/50] | Batch 400/509 | d_loss: 0.7105 | g_loss: 2.7205
2023-06-03 23:15:14 | Epoch [35/50] | Batch 405/509 | d_loss: 0.3840 | g_loss: 3.4141
2023-06-03 23:15:16 | Epoch [35/50] | Batch 410/509 | d_loss: 0.4504 | g_loss: 3.1995
2023-06-03 23:15:18 | Epoch [35/50] | Batch 415/509 | d_loss: 0.3851 | g_loss: 3.6344
2023-06-03 23:15:19 | Epoch [35/50] | Batch 420/509 | d_loss: 0.3744 | g_loss: 3.4259
2023-06-03 23:15:21 | Epoch [35/50] | Batch 425/509 | d_loss: 0.4272 | g_loss: 4.6470
2023-06-03 23:15:23 | Epoch [35/50] | Batch 430/509 | d_loss: 0.4359 | g_loss: 4.0672
2023-06-03 23:15:24 | Epoch [35/50] | Batch 435/509 | d_loss: 0.3542 | g_loss: 5.2849
2023-06-03 23:15:26 | Epoch [35/50] | Batch 440/509 | d_loss: 0.4054 | g_loss: 3.8239
2023-06-03 23:15:28 | Epoch [35/50] | Batch 445/509 | d_loss: 0.6510 | g_loss: 1.5444
2023-06-03 23:15:29 | Epoch [35/50] | Batch 450/509 | d_loss: 0.4548 | g_loss: 4.0118
2023-06-03 23:15:31 | Epoch [35/50] | Batch 455/509 | d_loss: 0.3521 | g_loss: 5.5704
2023-06-03 23:15:32 | Epoch [35/50] | Batch 460/509 | d_loss: 0.3650 | g_loss: 3.3867
2023-06-03 23:15:34 | Epoch [35/50] | Batch 465/509 | d_loss: 0.6531 | g_loss: 5.3133
2023-06-03 23:15:36 | Epoch [35/50] | Batch 470/509 | d_loss: 0.3672 | g_loss: 5.0516
2023-06-03 23:15:37 | Epoch [35/50] | Batch 475/509 | d_loss: 0.3960 | g_loss: 5.2512
2023-06-03 23:15:39 | Epoch [35/50] | Batch 480/509 | d_loss: 0.3723 | g_loss: 4.6324
2023-06-03 23:15:41 | Epoch [35/50] | Batch 485/509 | d_loss: 0.4263 | g_loss: 4.4632
2023-06-03 23:15:42 | Epoch [35/50] | Batch 490/509 | d_loss: 0.4055 | g_loss: 4.4858
2023-06-03 23:15:44 | Epoch [35/50] | Batch 495/509 | d_loss: 0.3802 | g_loss: 4.0125
2023-06-03 23:15:46 | Epoch [35/50] | Batch 500/509 | d_loss: 0.3878 | g_loss: 3.0961
2023-06-03 23:15:47 | Epoch [35/50] | Batch 505/509 | d_loss: 0.3606 | g_loss: 6.0926

2023-06-03 23:15:50 | Epoch [36/50] | Batch 0/509 | d_loss: 0.3820 | g_loss: 4.7028
2023-06-03 23:15:51 | Epoch [36/50] | Batch 5/509 | d_loss: 0.4062 | g_loss: 5.4879
2023-06-03 23:15:53 | Epoch [36/50] | Batch 10/509 | d_loss: 0.3678 | g_loss: 4.6416
2023-06-03 23:15:55 | Epoch [36/50] | Batch 15/509 | d_loss: 0.4686 | g_loss: 2.6680
2023-06-03 23:15:56 | Epoch [36/50] | Batch 20/509 | d_loss: 0.3772 | g_loss: 4.0957
2023-06-03 23:15:58 | Epoch [36/50] | Batch 25/509 | d_loss: 0.3518 | g_loss: 6.0753
2023-06-03 23:15:59 | Epoch [36/50] | Batch 30/509 | d_loss: 0.3608 | g_loss: 5.5651
2023-06-03 23:16:01 | Epoch [36/50] | Batch 35/509 | d_loss: 0.4059 | g_loss: 4.1717
2023-06-03 23:16:03 | Epoch [36/50] | Batch 40/509 | d_loss: 0.3567 | g_loss: 5.8163
2023-06-03 23:16:04 | Epoch [36/50] | Batch 45/509 | d_loss: 0.4961 | g_loss: 2.2672
2023-06-03 23:16:06 | Epoch [36/50] | Batch 50/509 | d_loss: 0.3759 | g_loss: 4.1259
2023-06-03 23:16:08 | Epoch [36/50] | Batch 55/509 | d_loss: 0.4037 | g_loss: 3.0335
2023-06-03 23:16:09 | Epoch [36/50] | Batch 60/509 | d_loss: 0.3894 | g_loss: 3.9288
2023-06-03 23:16:11 | Epoch [36/50] | Batch 65/509 | d_loss: 0.4109 | g_loss: 3.7645
2023-06-03 23:16:13 | Epoch [36/50] | Batch 70/509 | d_loss: 0.3907 | g_loss: 4.6432
2023-06-03 23:16:14 | Epoch [36/50] | Batch 75/509 | d_loss: 0.3939 | g_loss: 5.1829
2023-06-03 23:16:16 | Epoch [36/50] | Batch 80/509 | d_loss: 0.3769 | g_loss: 4.8375
2023-06-03 23:16:17 | Epoch [36/50] | Batch 85/509 | d_loss: 0.4974 | g_loss: 5.1972
2023-06-03 23:16:19 | Epoch [36/50] | Batch 90/509 | d_loss: 0.4928 | g_loss: 2.3680
2023-06-03 23:16:21 | Epoch [36/50] | Batch 95/509 | d_loss: 0.4755 | g_loss: 4.4056
2023-06-03 23:16:22 | Epoch [36/50] | Batch 100/509 | d_loss: 2.1190 | g_loss: 7.0035
2023-06-03 23:16:24 | Epoch [36/50] | Batch 105/509 | d_loss: 0.4618 | g_loss: 2.8871
2023-06-03 23:16:26 | Epoch [36/50] | Batch 110/509 | d_loss: 0.5016 | g_loss: 2.5937
2023-06-03 23:16:27 | Epoch [36/50] | Batch 115/509 | d_loss: 0.4183 | g_loss: 3.7467
2023-06-03 23:16:29 | Epoch [36/50] | Batch 120/509 | d_loss: 0.4419 | g_loss: 2.8319
2023-06-03 23:16:31 | Epoch [36/50] | Batch 125/509 | d_loss: 0.4018 | g_loss: 3.8032
2023-06-03 23:16:32 | Epoch [36/50] | Batch 130/509 | d_loss: 0.4006 | g_loss: 4.0978
2023-06-03 23:16:34 | Epoch [36/50] | Batch 135/509 | d_loss: 0.3809 | g_loss: 3.7097
2023-06-03 23:16:35 | Epoch [36/50] | Batch 140/509 | d_loss: 0.3997 | g_loss: 3.1866
2023-06-03 23:16:37 | Epoch [36/50] | Batch 145/509 | d_loss: 0.4541 | g_loss: 3.9681
2023-06-03 23:16:39 | Epoch [36/50] | Batch 150/509 | d_loss: 0.5058 | g_loss: 3.9278
2023-06-03 23:16:40 | Epoch [36/50] | Batch 155/509 | d_loss: 0.3733 | g_loss: 5.3941
2023-06-03 23:16:42 | Epoch [36/50] | Batch 160/509 | d_loss: 0.5530 | g_loss: 2.6641
2023-06-03 23:16:44 | Epoch [36/50] | Batch 165/509 | d_loss: 0.3966 | g_loss: 3.6714
2023-06-03 23:16:45 | Epoch [36/50] | Batch 170/509 | d_loss: 0.4088 | g_loss: 3.6825
2023-06-03 23:16:47 | Epoch [36/50] | Batch 175/509 | d_loss: 0.6432 | g_loss: 5.0496
2023-06-03 23:16:49 | Epoch [36/50] | Batch 180/509 | d_loss: 0.4944 | g_loss: 4.5752
2023-06-03 23:16:50 | Epoch [36/50] | Batch 185/509 | d_loss: 0.6699 | g_loss: 2.6144
2023-06-03 23:16:52 | Epoch [36/50] | Batch 190/509 | d_loss: 0.8830 | g_loss: 4.2682
2023-06-03 23:16:54 | Epoch [36/50] | Batch 195/509 | d_loss: 0.5179 | g_loss: 3.5686
2023-06-03 23:16:55 | Epoch [36/50] | Batch 200/509 | d_loss: 0.4177 | g_loss: 3.9808
2023-06-03 23:16:57 | Epoch [36/50] | Batch 205/509 | d_loss: 0.3811 | g_loss: 3.8599
2023-06-03 23:16:58 | Epoch [36/50] | Batch 210/509 | d_loss: 0.3685 | g_loss: 3.3951
2023-06-03 23:17:00 | Epoch [36/50] | Batch 215/509 | d_loss: 0.4193 | g_loss: 3.3408
2023-06-03 23:17:02 | Epoch [36/50] | Batch 220/509 | d_loss: 0.4859 | g_loss: 4.0076
2023-06-03 23:17:03 | Epoch [36/50] | Batch 225/509 | d_loss: 0.4172 | g_loss: 3.3723
2023-06-03 23:17:05 | Epoch [36/50] | Batch 230/509 | d_loss: 0.3822 | g_loss: 4.2055
2023-06-03 23:17:07 | Epoch [36/50] | Batch 235/509 | d_loss: 0.3685 | g_loss: 4.1899
2023-06-03 23:17:08 | Epoch [36/50] | Batch 240/509 | d_loss: 0.3612 | g_loss: 6.5415
2023-06-03 23:17:10 | Epoch [36/50] | Batch 245/509 | d_loss: 0.4236 | g_loss: 4.1767
2023-06-03 23:17:12 | Epoch [36/50] | Batch 250/509 | d_loss: 0.3633 | g_loss: 5.5620
2023-06-03 23:17:13 | Epoch [36/50] | Batch 255/509 | d_loss: 0.4167 | g_loss: 2.7351
2023-06-03 23:17:15 | Epoch [36/50] | Batch 260/509 | d_loss: 0.6374 | g_loss: 4.2069
2023-06-03 23:17:16 | Epoch [36/50] | Batch 265/509 | d_loss: 0.4083 | g_loss: 4.3438
2023-06-03 23:17:18 | Epoch [36/50] | Batch 270/509 | d_loss: 0.3988 | g_loss: 5.0587
2023-06-03 23:17:20 | Epoch [36/50] | Batch 275/509 | d_loss: 0.3938 | g_loss: 3.9397
2023-06-03 23:17:21 | Epoch [36/50] | Batch 280/509 | d_loss: 0.3601 | g_loss: 4.9456
2023-06-03 23:17:23 | Epoch [36/50] | Batch 285/509 | d_loss: 0.3968 | g_loss: 3.9446
2023-06-03 23:17:25 | Epoch [36/50] | Batch 290/509 | d_loss: 0.3577 | g_loss: 5.3488
2023-06-03 23:17:26 | Epoch [36/50] | Batch 295/509 | d_loss: 0.3629 | g_loss: 6.1127
2023-06-03 23:17:28 | Epoch [36/50] | Batch 300/509 | d_loss: 0.5011 | g_loss: 2.7475
2023-06-03 23:17:30 | Epoch [36/50] | Batch 305/509 | d_loss: 0.4028 | g_loss: 4.7563
2023-06-03 23:17:31 | Epoch [36/50] | Batch 310/509 | d_loss: 0.3778 | g_loss: 5.0999
2023-06-03 23:17:33 | Epoch [36/50] | Batch 315/509 | d_loss: 0.3560 | g_loss: 5.6880
2023-06-03 23:17:35 | Epoch [36/50] | Batch 320/509 | d_loss: 0.3630 | g_loss: 4.9355
2023-06-03 23:17:36 | Epoch [36/50] | Batch 325/509 | d_loss: 0.3564 | g_loss: 5.1498
2023-06-03 23:17:38 | Epoch [36/50] | Batch 330/509 | d_loss: 0.3611 | g_loss: 3.6649
2023-06-03 23:17:39 | Epoch [36/50] | Batch 335/509 | d_loss: 0.4114 | g_loss: 6.2090
2023-06-03 23:17:41 | Epoch [36/50] | Batch 340/509 | d_loss: 0.4054 | g_loss: 4.5756
2023-06-03 23:17:43 | Epoch [36/50] | Batch 345/509 | d_loss: 0.3617 | g_loss: 4.2841
2023-06-03 23:17:44 | Epoch [36/50] | Batch 350/509 | d_loss: 0.4004 | g_loss: 3.4723
2023-06-03 23:17:46 | Epoch [36/50] | Batch 355/509 | d_loss: 0.3643 | g_loss: 5.4455
2023-06-03 23:17:48 | Epoch [36/50] | Batch 360/509 | d_loss: 0.4012 | g_loss: 4.4138
2023-06-03 23:17:49 | Epoch [36/50] | Batch 365/509 | d_loss: 0.3993 | g_loss: 4.0529
2023-06-03 23:17:51 | Epoch [36/50] | Batch 370/509 | d_loss: 0.3805 | g_loss: 3.4445
2023-06-03 23:17:53 | Epoch [36/50] | Batch 375/509 | d_loss: 0.4360 | g_loss: 4.0761
2023-06-03 23:17:54 | Epoch [36/50] | Batch 380/509 | d_loss: 0.4344 | g_loss: 4.5356
2023-06-03 23:17:56 | Epoch [36/50] | Batch 385/509 | d_loss: 0.4063 | g_loss: 3.9029
2023-06-03 23:17:58 | Epoch [36/50] | Batch 390/509 | d_loss: 0.3530 | g_loss: 6.2602
2023-06-03 23:17:59 | Epoch [36/50] | Batch 395/509 | d_loss: 0.4096 | g_loss: 3.7241
2023-06-03 23:18:01 | Epoch [36/50] | Batch 400/509 | d_loss: 0.3806 | g_loss: 3.5238
2023-06-03 23:18:02 | Epoch [36/50] | Batch 405/509 | d_loss: 0.3531 | g_loss: 4.8470
2023-06-03 23:18:04 | Epoch [36/50] | Batch 410/509 | d_loss: 0.3877 | g_loss: 4.2592
2023-06-03 23:18:06 | Epoch [36/50] | Batch 415/509 | d_loss: 0.3815 | g_loss: 4.2252
2023-06-03 23:18:07 | Epoch [36/50] | Batch 420/509 | d_loss: 0.3795 | g_loss: 3.7390
2023-06-03 23:18:09 | Epoch [36/50] | Batch 425/509 | d_loss: 0.3685 | g_loss: 4.5139
2023-06-03 23:18:11 | Epoch [36/50] | Batch 430/509 | d_loss: 0.3630 | g_loss: 4.2908
2023-06-03 23:18:12 | Epoch [36/50] | Batch 435/509 | d_loss: 0.3513 | g_loss: 5.6650
2023-06-03 23:18:14 | Epoch [36/50] | Batch 440/509 | d_loss: 0.3619 | g_loss: 3.6371
2023-06-03 23:18:16 | Epoch [36/50] | Batch 445/509 | d_loss: 0.5438 | g_loss: 3.6903
2023-06-03 23:18:17 | Epoch [36/50] | Batch 450/509 | d_loss: 0.3484 | g_loss: 5.8439
2023-06-03 23:18:19 | Epoch [36/50] | Batch 455/509 | d_loss: 0.3928 | g_loss: 3.6721
2023-06-03 23:18:20 | Epoch [36/50] | Batch 460/509 | d_loss: 0.3511 | g_loss: 5.3587
2023-06-03 23:18:22 | Epoch [36/50] | Batch 465/509 | d_loss: 0.3737 | g_loss: 4.6176
2023-06-03 23:18:24 | Epoch [36/50] | Batch 470/509 | d_loss: 0.3727 | g_loss: 4.0322
2023-06-03 23:18:25 | Epoch [36/50] | Batch 475/509 | d_loss: 0.3677 | g_loss: 4.1728
2023-06-03 23:18:27 | Epoch [36/50] | Batch 480/509 | d_loss: 0.5824 | g_loss: 2.5581
2023-06-03 23:18:29 | Epoch [36/50] | Batch 485/509 | d_loss: 0.3683 | g_loss: 4.6813
2023-06-03 23:18:30 | Epoch [36/50] | Batch 490/509 | d_loss: 0.4017 | g_loss: 3.3000
2023-06-03 23:18:32 | Epoch [36/50] | Batch 495/509 | d_loss: 0.3959 | g_loss: 4.5789
2023-06-03 23:18:34 | Epoch [36/50] | Batch 500/509 | d_loss: 0.3646 | g_loss: 5.7673
2023-06-03 23:18:35 | Epoch [36/50] | Batch 505/509 | d_loss: 0.3720 | g_loss: 5.4177

2023-06-03 23:18:38 | Epoch [37/50] | Batch 0/509 | d_loss: 0.3698 | g_loss: 5.5775
2023-06-03 23:18:39 | Epoch [37/50] | Batch 5/509 | d_loss: 0.3802 | g_loss: 4.7644
2023-06-03 23:18:41 | Epoch [37/50] | Batch 10/509 | d_loss: 0.6243 | g_loss: 5.0134
2023-06-03 23:18:43 | Epoch [37/50] | Batch 15/509 | d_loss: 0.4042 | g_loss: 3.7536
2023-06-03 23:18:44 | Epoch [37/50] | Batch 20/509 | d_loss: 0.3846 | g_loss: 4.7646
2023-06-03 23:18:46 | Epoch [37/50] | Batch 25/509 | d_loss: 0.3530 | g_loss: 4.3139
2023-06-03 23:18:48 | Epoch [37/50] | Batch 30/509 | d_loss: 0.3593 | g_loss: 6.0683
2023-06-03 23:18:49 | Epoch [37/50] | Batch 35/509 | d_loss: 0.3565 | g_loss: 4.5580
2023-06-03 23:18:51 | Epoch [37/50] | Batch 40/509 | d_loss: 0.3566 | g_loss: 5.9843
2023-06-03 23:18:52 | Epoch [37/50] | Batch 45/509 | d_loss: 0.4356 | g_loss: 4.9271
2023-06-03 23:18:54 | Epoch [37/50] | Batch 50/509 | d_loss: 0.3657 | g_loss: 5.7705
2023-06-03 23:18:56 | Epoch [37/50] | Batch 55/509 | d_loss: 0.3428 | g_loss: 6.3062
2023-06-03 23:18:57 | Epoch [37/50] | Batch 60/509 | d_loss: 0.4140 | g_loss: 3.7089
2023-06-03 23:18:59 | Epoch [37/50] | Batch 65/509 | d_loss: 0.3497 | g_loss: 5.1875
2023-06-03 23:19:01 | Epoch [37/50] | Batch 70/509 | d_loss: 0.3643 | g_loss: 4.2086
2023-06-03 23:19:02 | Epoch [37/50] | Batch 75/509 | d_loss: 0.3470 | g_loss: 4.9501
2023-06-03 23:19:04 | Epoch [37/50] | Batch 80/509 | d_loss: 0.4031 | g_loss: 3.5955
2023-06-03 23:19:06 | Epoch [37/50] | Batch 85/509 | d_loss: 0.4841 | g_loss: 4.1364
2023-06-03 23:19:07 | Epoch [37/50] | Batch 90/509 | d_loss: 4.5803 | g_loss: 0.6021
2023-06-03 23:19:09 | Epoch [37/50] | Batch 95/509 | d_loss: 1.5783 | g_loss: 5.8034
2023-06-03 23:19:10 | Epoch [37/50] | Batch 100/509 | d_loss: 0.4844 | g_loss: 2.9600
2023-06-03 23:19:12 | Epoch [37/50] | Batch 105/509 | d_loss: 0.9467 | g_loss: 2.8967
2023-06-03 23:19:14 | Epoch [37/50] | Batch 110/509 | d_loss: 0.6262 | g_loss: 2.8450
2023-06-03 23:19:15 | Epoch [37/50] | Batch 115/509 | d_loss: 0.5953 | g_loss: 3.3270
2023-06-03 23:19:17 | Epoch [37/50] | Batch 120/509 | d_loss: 0.8093 | g_loss: 2.1817
2023-06-03 23:19:19 | Epoch [37/50] | Batch 125/509 | d_loss: 0.5226 | g_loss: 3.2967
2023-06-03 23:19:20 | Epoch [37/50] | Batch 130/509 | d_loss: 0.7672 | g_loss: 2.1077
2023-06-03 23:19:22 | Epoch [37/50] | Batch 135/509 | d_loss: 0.4219 | g_loss: 3.2932
2023-06-03 23:19:24 | Epoch [37/50] | Batch 140/509 | d_loss: 0.6757 | g_loss: 2.8070
2023-06-03 23:19:25 | Epoch [37/50] | Batch 145/509 | d_loss: 0.4092 | g_loss: 3.0343
2023-06-03 23:19:27 | Epoch [37/50] | Batch 150/509 | d_loss: 0.3985 | g_loss: 3.6771
2023-06-03 23:19:29 | Epoch [37/50] | Batch 155/509 | d_loss: 0.4101 | g_loss: 4.0656
2023-06-03 23:19:30 | Epoch [37/50] | Batch 160/509 | d_loss: 0.4656 | g_loss: 3.6815
2023-06-03 23:19:32 | Epoch [37/50] | Batch 165/509 | d_loss: 0.4585 | g_loss: 2.9003
2023-06-03 23:19:33 | Epoch [37/50] | Batch 170/509 | d_loss: 0.4317 | g_loss: 4.0852
2023-06-03 23:19:35 | Epoch [37/50] | Batch 175/509 | d_loss: 0.5713 | g_loss: 3.3433
2023-06-03 23:19:37 | Epoch [37/50] | Batch 180/509 | d_loss: 0.3651 | g_loss: 6.6758
2023-06-03 23:19:38 | Epoch [37/50] | Batch 185/509 | d_loss: 0.4538 | g_loss: 3.6361
2023-06-03 23:19:40 | Epoch [37/50] | Batch 190/509 | d_loss: 0.3863 | g_loss: 4.1781
2023-06-03 23:19:42 | Epoch [37/50] | Batch 195/509 | d_loss: 0.3790 | g_loss: 4.5709
2023-06-03 23:19:43 | Epoch [37/50] | Batch 200/509 | d_loss: 0.3989 | g_loss: 4.3997
2023-06-03 23:19:45 | Epoch [37/50] | Batch 205/509 | d_loss: 0.4006 | g_loss: 3.7110
2023-06-03 23:19:47 | Epoch [37/50] | Batch 210/509 | d_loss: 0.3806 | g_loss: 4.7726
2023-06-03 23:19:48 | Epoch [37/50] | Batch 215/509 | d_loss: 0.3643 | g_loss: 4.1417
2023-06-03 23:19:50 | Epoch [37/50] | Batch 220/509 | d_loss: 0.3917 | g_loss: 4.0612
2023-06-03 23:19:51 | Epoch [37/50] | Batch 225/509 | d_loss: 0.4059 | g_loss: 4.9929
2023-06-03 23:19:53 | Epoch [37/50] | Batch 230/509 | d_loss: 0.4253 | g_loss: 4.9011
2023-06-03 23:19:55 | Epoch [37/50] | Batch 235/509 | d_loss: 0.5730 | g_loss: 1.7646
2023-06-03 23:19:56 | Epoch [37/50] | Batch 240/509 | d_loss: 0.4497 | g_loss: 3.4684
2023-06-03 23:19:58 | Epoch [37/50] | Batch 245/509 | d_loss: 0.4117 | g_loss: 4.5804
2023-06-03 23:20:00 | Epoch [37/50] | Batch 250/509 | d_loss: 0.5720 | g_loss: 2.6391
2023-06-03 23:20:01 | Epoch [37/50] | Batch 255/509 | d_loss: 0.4765 | g_loss: 3.9779
2023-06-03 23:20:03 | Epoch [37/50] | Batch 260/509 | d_loss: 0.4236 | g_loss: 3.1022
2023-06-03 23:20:05 | Epoch [37/50] | Batch 265/509 | d_loss: 0.4181 | g_loss: 4.5645
2023-06-03 23:20:06 | Epoch [37/50] | Batch 270/509 | d_loss: 0.4629 | g_loss: 3.8471
2023-06-03 23:20:08 | Epoch [37/50] | Batch 275/509 | d_loss: 0.3857 | g_loss: 5.4935
2023-06-03 23:20:09 | Epoch [37/50] | Batch 280/509 | d_loss: 0.5229 | g_loss: 2.2688
2023-06-03 23:20:11 | Epoch [37/50] | Batch 285/509 | d_loss: 0.5649 | g_loss: 4.9315
2023-06-03 23:20:13 | Epoch [37/50] | Batch 290/509 | d_loss: 0.6472 | g_loss: 3.4203
2023-06-03 23:20:14 | Epoch [37/50] | Batch 295/509 | d_loss: 0.3772 | g_loss: 5.5628
2023-06-03 23:20:16 | Epoch [37/50] | Batch 300/509 | d_loss: 0.4003 | g_loss: 4.3057
2023-06-03 23:20:18 | Epoch [37/50] | Batch 305/509 | d_loss: 0.4131 | g_loss: 4.5225
2023-06-03 23:20:19 | Epoch [37/50] | Batch 310/509 | d_loss: 0.3741 | g_loss: 3.9038
2023-06-03 23:20:21 | Epoch [37/50] | Batch 315/509 | d_loss: 0.4343 | g_loss: 4.3966
2023-06-03 23:20:23 | Epoch [37/50] | Batch 320/509 | d_loss: 0.3690 | g_loss: 3.3585
2023-06-03 23:20:24 | Epoch [37/50] | Batch 325/509 | d_loss: 0.4415 | g_loss: 5.2041
2023-06-03 23:20:26 | Epoch [37/50] | Batch 330/509 | d_loss: 0.4094 | g_loss: 3.8071
2023-06-03 23:20:28 | Epoch [37/50] | Batch 335/509 | d_loss: 0.3572 | g_loss: 4.9343
2023-06-03 23:20:29 | Epoch [37/50] | Batch 340/509 | d_loss: 0.4136 | g_loss: 4.7829
2023-06-03 23:20:31 | Epoch [37/50] | Batch 345/509 | d_loss: 0.4867 | g_loss: 5.4249
2023-06-03 23:20:32 | Epoch [37/50] | Batch 350/509 | d_loss: 0.4031 | g_loss: 3.9166
2023-06-03 23:20:34 | Epoch [37/50] | Batch 355/509 | d_loss: 0.4298 | g_loss: 5.3195
2023-06-03 23:20:36 | Epoch [37/50] | Batch 360/509 | d_loss: 0.5148 | g_loss: 2.8242
2023-06-03 23:20:37 | Epoch [37/50] | Batch 365/509 | d_loss: 0.3491 | g_loss: 4.2116
2023-06-03 23:20:39 | Epoch [37/50] | Batch 370/509 | d_loss: 0.3698 | g_loss: 4.8755
2023-06-03 23:20:41 | Epoch [37/50] | Batch 375/509 | d_loss: 0.3711 | g_loss: 4.7154
2023-06-03 23:20:42 | Epoch [37/50] | Batch 380/509 | d_loss: 0.4550 | g_loss: 4.2135
2023-06-03 23:20:44 | Epoch [37/50] | Batch 385/509 | d_loss: 0.3583 | g_loss: 4.1035
2023-06-03 23:20:46 | Epoch [37/50] | Batch 390/509 | d_loss: 0.3641 | g_loss: 4.2885
2023-06-03 23:20:47 | Epoch [37/50] | Batch 395/509 | d_loss: 0.3755 | g_loss: 4.6694
2023-06-03 23:20:49 | Epoch [37/50] | Batch 400/509 | d_loss: 0.3937 | g_loss: 3.6898
2023-06-03 23:20:50 | Epoch [37/50] | Batch 405/509 | d_loss: 0.4063 | g_loss: 4.2062
2023-06-03 23:20:52 | Epoch [37/50] | Batch 410/509 | d_loss: 0.3566 | g_loss: 4.0673
2023-06-03 23:20:54 | Epoch [37/50] | Batch 415/509 | d_loss: 0.3711 | g_loss: 3.8400
2023-06-03 23:20:55 | Epoch [37/50] | Batch 420/509 | d_loss: 0.3560 | g_loss: 5.7600
2023-06-03 23:20:57 | Epoch [37/50] | Batch 425/509 | d_loss: 0.3567 | g_loss: 5.1340
2023-06-03 23:20:59 | Epoch [37/50] | Batch 430/509 | d_loss: 0.4905 | g_loss: 4.0417
2023-06-03 23:21:00 | Epoch [37/50] | Batch 435/509 | d_loss: 0.3870 | g_loss: 3.8110
2023-06-03 23:21:02 | Epoch [37/50] | Batch 440/509 | d_loss: 0.3851 | g_loss: 3.5780
2023-06-03 23:21:04 | Epoch [37/50] | Batch 445/509 | d_loss: 0.5046 | g_loss: 3.3993
2023-06-03 23:21:05 | Epoch [37/50] | Batch 450/509 | d_loss: 0.3477 | g_loss: 5.6577
2023-06-03 23:21:07 | Epoch [37/50] | Batch 455/509 | d_loss: 0.3538 | g_loss: 4.0251
2023-06-03 23:21:08 | Epoch [37/50] | Batch 460/509 | d_loss: 0.5948 | g_loss: 1.8152
2023-06-03 23:21:10 | Epoch [37/50] | Batch 465/509 | d_loss: 0.3730 | g_loss: 4.7006
2023-06-03 23:21:12 | Epoch [37/50] | Batch 470/509 | d_loss: 0.3682 | g_loss: 4.0234
2023-06-03 23:21:13 | Epoch [37/50] | Batch 475/509 | d_loss: 0.3891 | g_loss: 3.6665
2023-06-03 23:21:15 | Epoch [37/50] | Batch 480/509 | d_loss: 0.3743 | g_loss: 3.7911
2023-06-03 23:21:17 | Epoch [37/50] | Batch 485/509 | d_loss: 0.3677 | g_loss: 4.3250
2023-06-03 23:21:18 | Epoch [37/50] | Batch 490/509 | d_loss: 0.3544 | g_loss: 4.0750
2023-06-03 23:21:20 | Epoch [37/50] | Batch 495/509 | d_loss: 0.4511 | g_loss: 4.4532
2023-06-03 23:21:22 | Epoch [37/50] | Batch 500/509 | d_loss: 0.4190 | g_loss: 4.7816
2023-06-03 23:21:23 | Epoch [37/50] | Batch 505/509 | d_loss: 0.3572 | g_loss: 5.7605

2023-06-03 23:21:26 | Epoch [38/50] | Batch 0/509 | d_loss: 0.3851 | g_loss: 5.2062
2023-06-03 23:21:27 | Epoch [38/50] | Batch 5/509 | d_loss: 0.3598 | g_loss: 7.3045
2023-06-03 23:21:29 | Epoch [38/50] | Batch 10/509 | d_loss: 0.3748 | g_loss: 3.9795
2023-06-03 23:21:31 | Epoch [38/50] | Batch 15/509 | d_loss: 0.3666 | g_loss: 4.8226
2023-06-03 23:21:32 | Epoch [38/50] | Batch 20/509 | d_loss: 0.3467 | g_loss: 7.5764
2023-06-03 23:21:34 | Epoch [38/50] | Batch 25/509 | d_loss: 0.4887 | g_loss: 3.7627
2023-06-03 23:21:36 | Epoch [38/50] | Batch 30/509 | d_loss: 0.3811 | g_loss: 4.1719
2023-06-03 23:21:37 | Epoch [38/50] | Batch 35/509 | d_loss: 0.3710 | g_loss: 5.0392
2023-06-03 23:21:39 | Epoch [38/50] | Batch 40/509 | d_loss: 0.4952 | g_loss: 3.5002
2023-06-03 23:21:41 | Epoch [38/50] | Batch 45/509 | d_loss: 0.3686 | g_loss: 4.5460
2023-06-03 23:21:42 | Epoch [38/50] | Batch 50/509 | d_loss: 0.4719 | g_loss: 4.2441
2023-06-03 23:21:44 | Epoch [38/50] | Batch 55/509 | d_loss: 0.3849 | g_loss: 5.1461
2023-06-03 23:21:46 | Epoch [38/50] | Batch 60/509 | d_loss: 0.4013 | g_loss: 4.4456
2023-06-03 23:21:47 | Epoch [38/50] | Batch 65/509 | d_loss: 0.3820 | g_loss: 4.3186
2023-06-03 23:21:49 | Epoch [38/50] | Batch 70/509 | d_loss: 0.3643 | g_loss: 4.8663
2023-06-03 23:21:50 | Epoch [38/50] | Batch 75/509 | d_loss: 0.4059 | g_loss: 4.0225
2023-06-03 23:21:52 | Epoch [38/50] | Batch 80/509 | d_loss: 0.3901 | g_loss: 4.6055
2023-06-03 23:21:54 | Epoch [38/50] | Batch 85/509 | d_loss: 0.3745 | g_loss: 4.7995
2023-06-03 23:21:55 | Epoch [38/50] | Batch 90/509 | d_loss: 0.3610 | g_loss: 3.9603
2023-06-03 23:21:57 | Epoch [38/50] | Batch 95/509 | d_loss: 0.4037 | g_loss: 5.4474
2023-06-03 23:21:59 | Epoch [38/50] | Batch 100/509 | d_loss: 0.4244 | g_loss: 4.1161
2023-06-03 23:22:00 | Epoch [38/50] | Batch 105/509 | d_loss: 0.4622 | g_loss: 3.2226
2023-06-03 23:22:02 | Epoch [38/50] | Batch 110/509 | d_loss: 0.3659 | g_loss: 4.1263
2023-06-03 23:22:04 | Epoch [38/50] | Batch 115/509 | d_loss: 0.3569 | g_loss: 5.6060
2023-06-03 23:22:05 | Epoch [38/50] | Batch 120/509 | d_loss: 0.3510 | g_loss: 5.0221
2023-06-03 23:22:07 | Epoch [38/50] | Batch 125/509 | d_loss: 0.3931 | g_loss: 5.2358
2023-06-03 23:22:08 | Epoch [38/50] | Batch 130/509 | d_loss: 0.4700 | g_loss: 4.3810
2023-06-03 23:22:10 | Epoch [38/50] | Batch 135/509 | d_loss: 0.4583 | g_loss: 2.7627
2023-06-03 23:22:12 | Epoch [38/50] | Batch 140/509 | d_loss: 0.3861 | g_loss: 4.6173
2023-06-03 23:22:13 | Epoch [38/50] | Batch 145/509 | d_loss: 0.3596 | g_loss: 5.4151
2023-06-03 23:22:15 | Epoch [38/50] | Batch 150/509 | d_loss: 0.3524 | g_loss: 4.3923
2023-06-03 23:22:17 | Epoch [38/50] | Batch 155/509 | d_loss: 0.3847 | g_loss: 4.2474
2023-06-03 23:22:18 | Epoch [38/50] | Batch 160/509 | d_loss: 0.3611 | g_loss: 4.6114
2023-06-03 23:22:20 | Epoch [38/50] | Batch 165/509 | d_loss: 0.6231 | g_loss: 4.9666
2023-06-03 23:22:22 | Epoch [38/50] | Batch 170/509 | d_loss: 0.4531 | g_loss: 4.2230
2023-06-03 23:22:23 | Epoch [38/50] | Batch 175/509 | d_loss: 0.3593 | g_loss: 4.2318
2023-06-03 23:22:25 | Epoch [38/50] | Batch 180/509 | d_loss: 0.3518 | g_loss: 5.5309
2023-06-03 23:22:27 | Epoch [38/50] | Batch 185/509 | d_loss: 0.4449 | g_loss: 2.1470
2023-06-03 23:22:28 | Epoch [38/50] | Batch 190/509 | d_loss: 0.3643 | g_loss: 4.7052
2023-06-03 23:22:30 | Epoch [38/50] | Batch 195/509 | d_loss: 0.3838 | g_loss: 3.7414
2023-06-03 23:22:31 | Epoch [38/50] | Batch 200/509 | d_loss: 0.3539 | g_loss: 4.6202
2023-06-03 23:22:33 | Epoch [38/50] | Batch 205/509 | d_loss: 0.3982 | g_loss: 3.7623
2023-06-03 23:22:35 | Epoch [38/50] | Batch 210/509 | d_loss: 0.3754 | g_loss: 4.6782
2023-06-03 23:22:36 | Epoch [38/50] | Batch 215/509 | d_loss: 0.3615 | g_loss: 4.5223
2023-06-03 23:22:38 | Epoch [38/50] | Batch 220/509 | d_loss: 0.5623 | g_loss: 4.5900
2023-06-03 23:22:40 | Epoch [38/50] | Batch 225/509 | d_loss: 0.6199 | g_loss: 4.5357
2023-06-03 23:22:41 | Epoch [38/50] | Batch 230/509 | d_loss: 1.4288 | g_loss: 6.2899
2023-06-03 23:22:43 | Epoch [38/50] | Batch 235/509 | d_loss: 1.5529 | g_loss: 5.1628
2023-06-03 23:22:45 | Epoch [38/50] | Batch 240/509 | d_loss: 0.4480 | g_loss: 2.9837
2023-06-03 23:22:46 | Epoch [38/50] | Batch 245/509 | d_loss: 0.5857 | g_loss: 3.3116
2023-06-03 23:22:48 | Epoch [38/50] | Batch 250/509 | d_loss: 0.7495 | g_loss: 3.1756
2023-06-03 23:22:49 | Epoch [38/50] | Batch 255/509 | d_loss: 0.5246 | g_loss: 3.7961
2023-06-03 23:22:51 | Epoch [38/50] | Batch 260/509 | d_loss: 0.5748 | g_loss: 3.8015
2023-06-03 23:22:53 | Epoch [38/50] | Batch 265/509 | d_loss: 0.4385 | g_loss: 4.0985
2023-06-03 23:22:54 | Epoch [38/50] | Batch 270/509 | d_loss: 0.4889 | g_loss: 2.6803
2023-06-03 23:22:56 | Epoch [38/50] | Batch 275/509 | d_loss: 0.4522 | g_loss: 5.3542
2023-06-03 23:22:58 | Epoch [38/50] | Batch 280/509 | d_loss: 0.4081 | g_loss: 3.3413
2023-06-03 23:22:59 | Epoch [38/50] | Batch 285/509 | d_loss: 0.4256 | g_loss: 3.9009
2023-06-03 23:23:01 | Epoch [38/50] | Batch 290/509 | d_loss: 0.5405 | g_loss: 2.3621
2023-06-03 23:23:03 | Epoch [38/50] | Batch 295/509 | d_loss: 0.3838 | g_loss: 4.6431
2023-06-03 23:23:04 | Epoch [38/50] | Batch 300/509 | d_loss: 0.3734 | g_loss: 4.0460
2023-06-03 23:23:06 | Epoch [38/50] | Batch 305/509 | d_loss: 0.4016 | g_loss: 4.3803
2023-06-03 23:23:07 | Epoch [38/50] | Batch 310/509 | d_loss: 0.5038 | g_loss: 4.3666
2023-06-03 23:23:09 | Epoch [38/50] | Batch 315/509 | d_loss: 0.3735 | g_loss: 4.7037
2023-06-03 23:23:11 | Epoch [38/50] | Batch 320/509 | d_loss: 0.4250 | g_loss: 3.8035
2023-06-03 23:23:12 | Epoch [38/50] | Batch 325/509 | d_loss: 0.3701 | g_loss: 4.4496
2023-06-03 23:23:14 | Epoch [38/50] | Batch 330/509 | d_loss: 0.3964 | g_loss: 3.8518
2023-06-03 23:23:16 | Epoch [38/50] | Batch 335/509 | d_loss: 0.4803 | g_loss: 3.6003
2023-06-03 23:23:17 | Epoch [38/50] | Batch 340/509 | d_loss: 0.3655 | g_loss: 4.5945
2023-06-03 23:23:19 | Epoch [38/50] | Batch 345/509 | d_loss: 0.3623 | g_loss: 4.8048
2023-06-03 23:23:21 | Epoch [38/50] | Batch 350/509 | d_loss: 0.4103 | g_loss: 3.7399
2023-06-03 23:23:22 | Epoch [38/50] | Batch 355/509 | d_loss: 0.3778 | g_loss: 5.1614
2023-06-03 23:23:24 | Epoch [38/50] | Batch 360/509 | d_loss: 0.4125 | g_loss: 3.9892
2023-06-03 23:23:26 | Epoch [38/50] | Batch 365/509 | d_loss: 0.3759 | g_loss: 4.8009
2023-06-03 23:23:27 | Epoch [38/50] | Batch 370/509 | d_loss: 0.3592 | g_loss: 4.4939
2023-06-03 23:23:29 | Epoch [38/50] | Batch 375/509 | d_loss: 0.3951 | g_loss: 4.5958
2023-06-03 23:23:30 | Epoch [38/50] | Batch 380/509 | d_loss: 0.3940 | g_loss: 4.5145
2023-06-03 23:23:32 | Epoch [38/50] | Batch 385/509 | d_loss: 0.3514 | g_loss: 5.5590
2023-06-03 23:23:34 | Epoch [38/50] | Batch 390/509 | d_loss: 0.4212 | g_loss: 3.2432
2023-06-03 23:23:35 | Epoch [38/50] | Batch 395/509 | d_loss: 0.3822 | g_loss: 3.7283
2023-06-03 23:23:37 | Epoch [38/50] | Batch 400/509 | d_loss: 0.3699 | g_loss: 4.3203
2023-06-03 23:23:39 | Epoch [38/50] | Batch 405/509 | d_loss: 0.3851 | g_loss: 4.1539
2023-06-03 23:23:40 | Epoch [38/50] | Batch 410/509 | d_loss: 0.3901 | g_loss: 4.6899
2023-06-03 23:23:42 | Epoch [38/50] | Batch 415/509 | d_loss: 0.3725 | g_loss: 3.8962
2023-06-03 23:23:44 | Epoch [38/50] | Batch 420/509 | d_loss: 0.7529 | g_loss: 8.2615
2023-06-03 23:23:45 | Epoch [38/50] | Batch 425/509 | d_loss: 1.0484 | g_loss: 1.2069
2023-06-03 23:23:47 | Epoch [38/50] | Batch 430/509 | d_loss: 0.4433 | g_loss: 3.9210
2023-06-03 23:23:48 | Epoch [38/50] | Batch 435/509 | d_loss: 0.5496 | g_loss: 3.8141
2023-06-03 23:23:50 | Epoch [38/50] | Batch 440/509 | d_loss: 0.4893 | g_loss: 2.6283
2023-06-03 23:23:52 | Epoch [38/50] | Batch 445/509 | d_loss: 0.6086 | g_loss: 4.1200
2023-06-03 23:23:53 | Epoch [38/50] | Batch 450/509 | d_loss: 0.4899 | g_loss: 3.4313
2023-06-03 23:23:55 | Epoch [38/50] | Batch 455/509 | d_loss: 0.4771 | g_loss: 2.9954
2023-06-03 23:23:57 | Epoch [38/50] | Batch 460/509 | d_loss: 0.5320 | g_loss: 4.0955
2023-06-03 23:23:58 | Epoch [38/50] | Batch 465/509 | d_loss: 0.4199 | g_loss: 3.7376
2023-06-03 23:24:00 | Epoch [38/50] | Batch 470/509 | d_loss: 0.4286 | g_loss: 3.2579
2023-06-03 23:24:02 | Epoch [38/50] | Batch 475/509 | d_loss: 0.4491 | g_loss: 3.7249
2023-06-03 23:24:03 | Epoch [38/50] | Batch 480/509 | d_loss: 0.5282 | g_loss: 5.3296
2023-06-03 23:24:05 | Epoch [38/50] | Batch 485/509 | d_loss: 0.4827 | g_loss: 4.1604
2023-06-03 23:24:07 | Epoch [38/50] | Batch 490/509 | d_loss: 0.4456 | g_loss: 4.5842
2023-06-03 23:24:08 | Epoch [38/50] | Batch 495/509 | d_loss: 0.4286 | g_loss: 2.7340
2023-06-03 23:24:10 | Epoch [38/50] | Batch 500/509 | d_loss: 0.3663 | g_loss: 5.0037
2023-06-03 23:24:11 | Epoch [38/50] | Batch 505/509 | d_loss: 0.4325 | g_loss: 3.4665

2023-06-03 23:24:14 | Epoch [39/50] | Batch 0/509 | d_loss: 0.4888 | g_loss: 4.5218
2023-06-03 23:24:16 | Epoch [39/50] | Batch 5/509 | d_loss: 0.3895 | g_loss: 4.1032
2023-06-03 23:24:17 | Epoch [39/50] | Batch 10/509 | d_loss: 0.4308 | g_loss: 3.2624
2023-06-03 23:24:19 | Epoch [39/50] | Batch 15/509 | d_loss: 0.4271 | g_loss: 5.6815
2023-06-03 23:24:20 | Epoch [39/50] | Batch 20/509 | d_loss: 0.4927 | g_loss: 4.6484
2023-06-03 23:24:22 | Epoch [39/50] | Batch 25/509 | d_loss: 0.3994 | g_loss: 3.3414
2023-06-03 23:24:24 | Epoch [39/50] | Batch 30/509 | d_loss: 0.3897 | g_loss: 3.4530
2023-06-03 23:24:25 | Epoch [39/50] | Batch 35/509 | d_loss: 0.3864 | g_loss: 3.9895
2023-06-03 23:24:27 | Epoch [39/50] | Batch 40/509 | d_loss: 0.3991 | g_loss: 4.7238
2023-06-03 23:24:29 | Epoch [39/50] | Batch 45/509 | d_loss: 0.4039 | g_loss: 2.5243
2023-06-03 23:24:30 | Epoch [39/50] | Batch 50/509 | d_loss: 0.3846 | g_loss: 4.6932
2023-06-03 23:24:32 | Epoch [39/50] | Batch 55/509 | d_loss: 0.4129 | g_loss: 4.3364
2023-06-03 23:24:34 | Epoch [39/50] | Batch 60/509 | d_loss: 0.3765 | g_loss: 3.4879
2023-06-03 23:24:35 | Epoch [39/50] | Batch 65/509 | d_loss: 0.4006 | g_loss: 3.8542
2023-06-03 23:24:37 | Epoch [39/50] | Batch 70/509 | d_loss: 0.4597 | g_loss: 4.0265
2023-06-03 23:24:38 | Epoch [39/50] | Batch 75/509 | d_loss: 0.4695 | g_loss: 4.4169
2023-06-03 23:24:40 | Epoch [39/50] | Batch 80/509 | d_loss: 0.3731 | g_loss: 4.0706
2023-06-03 23:24:42 | Epoch [39/50] | Batch 85/509 | d_loss: 0.5270 | g_loss: 4.6508
2023-06-03 23:24:43 | Epoch [39/50] | Batch 90/509 | d_loss: 0.3742 | g_loss: 4.3761
2023-06-03 23:24:45 | Epoch [39/50] | Batch 95/509 | d_loss: 0.3555 | g_loss: 5.3029
2023-06-03 23:24:47 | Epoch [39/50] | Batch 100/509 | d_loss: 0.7084 | g_loss: 5.1267
2023-06-03 23:24:48 | Epoch [39/50] | Batch 105/509 | d_loss: 0.5346 | g_loss: 3.0195
2023-06-03 23:24:50 | Epoch [39/50] | Batch 110/509 | d_loss: 0.3737 | g_loss: 4.2972
2023-06-03 23:24:52 | Epoch [39/50] | Batch 115/509 | d_loss: 0.3491 | g_loss: 4.7637
2023-06-03 23:24:53 | Epoch [39/50] | Batch 120/509 | d_loss: 0.4160 | g_loss: 2.9198
2023-06-03 23:24:55 | Epoch [39/50] | Batch 125/509 | d_loss: 0.4074 | g_loss: 4.3594
2023-06-03 23:24:56 | Epoch [39/50] | Batch 130/509 | d_loss: 0.3461 | g_loss: 6.5228
2023-06-03 23:24:58 | Epoch [39/50] | Batch 135/509 | d_loss: 0.4595 | g_loss: 2.4983
2023-06-03 23:25:00 | Epoch [39/50] | Batch 140/509 | d_loss: 0.4011 | g_loss: 4.4744
2023-06-03 23:25:01 | Epoch [39/50] | Batch 145/509 | d_loss: 0.3862 | g_loss: 6.4397
2023-06-03 23:25:03 | Epoch [39/50] | Batch 150/509 | d_loss: 0.3781 | g_loss: 4.9320
2023-06-03 23:25:05 | Epoch [39/50] | Batch 155/509 | d_loss: 1.1315 | g_loss: 7.9688
2023-06-03 23:25:06 | Epoch [39/50] | Batch 160/509 | d_loss: 1.2145 | g_loss: 2.7375
2023-06-03 23:25:08 | Epoch [39/50] | Batch 165/509 | d_loss: 1.0571 | g_loss: 4.8380
2023-06-03 23:25:10 | Epoch [39/50] | Batch 170/509 | d_loss: 0.5169 | g_loss: 1.8653
2023-06-03 23:25:11 | Epoch [39/50] | Batch 175/509 | d_loss: 0.5421 | g_loss: 3.9289
2023-06-03 23:25:13 | Epoch [39/50] | Batch 180/509 | d_loss: 0.5965 | g_loss: 2.4555
2023-06-03 23:25:14 | Epoch [39/50] | Batch 185/509 | d_loss: 0.5272 | g_loss: 3.1921
2023-06-03 23:25:16 | Epoch [39/50] | Batch 190/509 | d_loss: 0.6701 | g_loss: 5.0714
2023-06-03 23:25:18 | Epoch [39/50] | Batch 195/509 | d_loss: 0.4265 | g_loss: 2.8410
2023-06-03 23:25:19 | Epoch [39/50] | Batch 200/509 | d_loss: 0.6643 | g_loss: 2.8672
2023-06-03 23:25:21 | Epoch [39/50] | Batch 205/509 | d_loss: 0.4270 | g_loss: 3.4399
2023-06-03 23:25:23 | Epoch [39/50] | Batch 210/509 | d_loss: 0.4374 | g_loss: 3.9116
2023-06-03 23:25:24 | Epoch [39/50] | Batch 215/509 | d_loss: 0.5059 | g_loss: 3.6548
2023-06-03 23:25:26 | Epoch [39/50] | Batch 220/509 | d_loss: 0.5319 | g_loss: 3.1592
2023-06-03 23:25:28 | Epoch [39/50] | Batch 225/509 | d_loss: 0.4120 | g_loss: 3.2684
2023-06-03 23:25:29 | Epoch [39/50] | Batch 230/509 | d_loss: 0.4852 | g_loss: 3.6386
2023-06-03 23:25:31 | Epoch [39/50] | Batch 235/509 | d_loss: 0.5037 | g_loss: 3.9212
2023-06-03 23:25:32 | Epoch [39/50] | Batch 240/509 | d_loss: 0.3959 | g_loss: 4.2698
2023-06-03 23:25:34 | Epoch [39/50] | Batch 245/509 | d_loss: 0.4067 | g_loss: 3.6267
2023-06-03 23:25:36 | Epoch [39/50] | Batch 250/509 | d_loss: 0.4005 | g_loss: 3.7101
2023-06-03 23:25:37 | Epoch [39/50] | Batch 255/509 | d_loss: 0.4197 | g_loss: 4.7208
2023-06-03 23:25:39 | Epoch [39/50] | Batch 260/509 | d_loss: 0.3612 | g_loss: 5.2305
2023-06-03 23:25:41 | Epoch [39/50] | Batch 265/509 | d_loss: 0.3794 | g_loss: 5.0109
2023-06-03 23:25:42 | Epoch [39/50] | Batch 270/509 | d_loss: 0.3908 | g_loss: 4.1030
2023-06-03 23:25:44 | Epoch [39/50] | Batch 275/509 | d_loss: 0.3935 | g_loss: 3.9030
2023-06-03 23:25:46 | Epoch [39/50] | Batch 280/509 | d_loss: 0.4025 | g_loss: 4.1015
2023-06-03 23:25:47 | Epoch [39/50] | Batch 285/509 | d_loss: 0.3597 | g_loss: 4.2385
2023-06-03 23:25:49 | Epoch [39/50] | Batch 290/509 | d_loss: 0.3929 | g_loss: 3.8063
2023-06-03 23:25:50 | Epoch [39/50] | Batch 295/509 | d_loss: 0.3853 | g_loss: 5.7145
2023-06-03 23:25:52 | Epoch [39/50] | Batch 300/509 | d_loss: 0.4040 | g_loss: 4.3017
2023-06-03 23:25:54 | Epoch [39/50] | Batch 305/509 | d_loss: 0.3681 | g_loss: 4.9151
2023-06-03 23:25:55 | Epoch [39/50] | Batch 310/509 | d_loss: 0.4391 | g_loss: 4.1901
2023-06-03 23:25:57 | Epoch [39/50] | Batch 315/509 | d_loss: 0.3490 | g_loss: 4.5741
2023-06-03 23:25:59 | Epoch [39/50] | Batch 320/509 | d_loss: 0.3844 | g_loss: 4.2793
2023-06-03 23:26:00 | Epoch [39/50] | Batch 325/509 | d_loss: 0.3805 | g_loss: 4.0953
2023-06-03 23:26:02 | Epoch [39/50] | Batch 330/509 | d_loss: 0.4651 | g_loss: 3.0085
2023-06-03 23:26:04 | Epoch [39/50] | Batch 335/509 | d_loss: 0.3629 | g_loss: 4.8846
2023-06-03 23:26:05 | Epoch [39/50] | Batch 340/509 | d_loss: 0.3842 | g_loss: 4.0361
2023-06-03 23:26:07 | Epoch [39/50] | Batch 345/509 | d_loss: 0.4208 | g_loss: 4.2795
2023-06-03 23:26:08 | Epoch [39/50] | Batch 350/509 | d_loss: 0.3689 | g_loss: 3.8694
2023-06-03 23:26:10 | Epoch [39/50] | Batch 355/509 | d_loss: 0.5150 | g_loss: 2.5705
2023-06-03 23:26:12 | Epoch [39/50] | Batch 360/509 | d_loss: 0.3755 | g_loss: 4.9174
2023-06-03 23:26:13 | Epoch [39/50] | Batch 365/509 | d_loss: 0.3666 | g_loss: 4.6503
2023-06-03 23:26:15 | Epoch [39/50] | Batch 370/509 | d_loss: 0.3573 | g_loss: 5.0590
2023-06-03 23:26:17 | Epoch [39/50] | Batch 375/509 | d_loss: 0.3498 | g_loss: 5.7495
2023-06-03 23:26:18 | Epoch [39/50] | Batch 380/509 | d_loss: 0.4462 | g_loss: 3.2564
2023-06-03 23:26:20 | Epoch [39/50] | Batch 385/509 | d_loss: 0.3603 | g_loss: 4.2834
2023-06-03 23:26:22 | Epoch [39/50] | Batch 390/509 | d_loss: 0.4320 | g_loss: 3.0609
2023-06-03 23:26:23 | Epoch [39/50] | Batch 395/509 | d_loss: 0.3819 | g_loss: 4.1863
2023-06-03 23:26:25 | Epoch [39/50] | Batch 400/509 | d_loss: 0.3678 | g_loss: 4.0120
2023-06-03 23:26:26 | Epoch [39/50] | Batch 405/509 | d_loss: 0.3725 | g_loss: 5.6306
2023-06-03 23:26:28 | Epoch [39/50] | Batch 410/509 | d_loss: 0.3672 | g_loss: 3.6861
2023-06-03 23:26:30 | Epoch [39/50] | Batch 415/509 | d_loss: 0.4093 | g_loss: 3.6109
2023-06-03 23:26:31 | Epoch [39/50] | Batch 420/509 | d_loss: 0.3560 | g_loss: 5.4525
2023-06-03 23:26:33 | Epoch [39/50] | Batch 425/509 | d_loss: 0.3717 | g_loss: 4.1898
2023-06-03 23:26:35 | Epoch [39/50] | Batch 430/509 | d_loss: 0.3806 | g_loss: 3.8167
2023-06-03 23:26:36 | Epoch [39/50] | Batch 435/509 | d_loss: 0.5450 | g_loss: 2.0882
2023-06-03 23:26:38 | Epoch [39/50] | Batch 440/509 | d_loss: 0.3481 | g_loss: 5.7877
2023-06-03 23:26:40 | Epoch [39/50] | Batch 445/509 | d_loss: 0.4018 | g_loss: 3.2602
2023-06-03 23:26:41 | Epoch [39/50] | Batch 450/509 | d_loss: 0.5203 | g_loss: 4.1250
2023-06-03 23:26:43 | Epoch [39/50] | Batch 455/509 | d_loss: 0.3754 | g_loss: 4.9456
2023-06-03 23:26:44 | Epoch [39/50] | Batch 460/509 | d_loss: 0.3942 | g_loss: 3.6921
2023-06-03 23:26:46 | Epoch [39/50] | Batch 465/509 | d_loss: 0.5988 | g_loss: 5.0579
2023-06-03 23:26:48 | Epoch [39/50] | Batch 470/509 | d_loss: 0.3701 | g_loss: 2.9960
2023-06-03 23:26:49 | Epoch [39/50] | Batch 475/509 | d_loss: 0.3870 | g_loss: 4.1936
2023-06-03 23:26:51 | Epoch [39/50] | Batch 480/509 | d_loss: 0.4134 | g_loss: 5.3782
2023-06-03 23:26:53 | Epoch [39/50] | Batch 485/509 | d_loss: 0.3571 | g_loss: 4.2540
2023-06-03 23:26:54 | Epoch [39/50] | Batch 490/509 | d_loss: 0.3616 | g_loss: 3.8349
2023-06-03 23:26:56 | Epoch [39/50] | Batch 495/509 | d_loss: 0.4103 | g_loss: 5.5917
2023-06-03 23:26:58 | Epoch [39/50] | Batch 500/509 | d_loss: 0.3508 | g_loss: 6.7435
2023-06-03 23:26:59 | Epoch [39/50] | Batch 505/509 | d_loss: 0.3684 | g_loss: 4.6014

2023-06-03 23:27:02 | Epoch [40/50] | Batch 0/509 | d_loss: 0.3843 | g_loss: 4.2177
2023-06-03 23:27:03 | Epoch [40/50] | Batch 5/509 | d_loss: 0.5504 | g_loss: 1.8039
2023-06-03 23:27:05 | Epoch [40/50] | Batch 10/509 | d_loss: 0.3833 | g_loss: 4.9078
2023-06-03 23:27:07 | Epoch [40/50] | Batch 15/509 | d_loss: 0.3774 | g_loss: 4.8035
2023-06-03 23:27:08 | Epoch [40/50] | Batch 20/509 | d_loss: 0.3693 | g_loss: 4.3704
2023-06-03 23:27:10 | Epoch [40/50] | Batch 25/509 | d_loss: 0.3546 | g_loss: 5.1248
2023-06-03 23:27:12 | Epoch [40/50] | Batch 30/509 | d_loss: 0.4257 | g_loss: 5.2577
2023-06-03 23:27:13 | Epoch [40/50] | Batch 35/509 | d_loss: 0.3523 | g_loss: 5.2600
2023-06-03 23:27:15 | Epoch [40/50] | Batch 40/509 | d_loss: 0.3633 | g_loss: 4.3446
2023-06-03 23:27:17 | Epoch [40/50] | Batch 45/509 | d_loss: 0.3449 | g_loss: 7.2098
2023-06-03 23:27:18 | Epoch [40/50] | Batch 50/509 | d_loss: 0.3590 | g_loss: 5.1330
2023-06-03 23:27:20 | Epoch [40/50] | Batch 55/509 | d_loss: 0.3735 | g_loss: 6.8746
2023-06-03 23:27:21 | Epoch [40/50] | Batch 60/509 | d_loss: 0.3683 | g_loss: 5.2087
2023-06-03 23:27:23 | Epoch [40/50] | Batch 65/509 | d_loss: 0.6040 | g_loss: 5.7838
2023-06-03 23:27:25 | Epoch [40/50] | Batch 70/509 | d_loss: 0.3613 | g_loss: 4.9038
2023-06-03 23:27:26 | Epoch [40/50] | Batch 75/509 | d_loss: 0.3532 | g_loss: 4.3813
2023-06-03 23:27:28 | Epoch [40/50] | Batch 80/509 | d_loss: 0.3721 | g_loss: 4.1251
2023-06-03 23:27:30 | Epoch [40/50] | Batch 85/509 | d_loss: 0.4407 | g_loss: 2.4298
2023-06-03 23:27:31 | Epoch [40/50] | Batch 90/509 | d_loss: 0.3877 | g_loss: 5.8736
2023-06-03 23:27:33 | Epoch [40/50] | Batch 95/509 | d_loss: 0.3451 | g_loss: 5.8075
2023-06-03 23:27:35 | Epoch [40/50] | Batch 100/509 | d_loss: 0.4101 | g_loss: 5.2997
2023-06-03 23:27:36 | Epoch [40/50] | Batch 105/509 | d_loss: 0.3500 | g_loss: 5.2513
2023-06-03 23:27:38 | Epoch [40/50] | Batch 110/509 | d_loss: 0.3995 | g_loss: 4.6278
2023-06-03 23:27:39 | Epoch [40/50] | Batch 115/509 | d_loss: 1.5015 | g_loss: 10.1505
2023-06-03 23:27:41 | Epoch [40/50] | Batch 120/509 | d_loss: 0.5671 | g_loss: 3.6584
2023-06-03 23:27:43 | Epoch [40/50] | Batch 125/509 | d_loss: 0.8422 | g_loss: 1.2785
2023-06-03 23:27:44 | Epoch [40/50] | Batch 130/509 | d_loss: 0.4975 | g_loss: 5.5732
2023-06-03 23:27:46 | Epoch [40/50] | Batch 135/509 | d_loss: 0.4962 | g_loss: 3.2377
2023-06-03 23:27:48 | Epoch [40/50] | Batch 140/509 | d_loss: 0.5004 | g_loss: 2.8180
2023-06-03 23:27:49 | Epoch [40/50] | Batch 145/509 | d_loss: 0.5143 | g_loss: 3.2043
2023-06-03 23:27:51 | Epoch [40/50] | Batch 150/509 | d_loss: 0.4502 | g_loss: 3.4682
2023-06-03 23:27:53 | Epoch [40/50] | Batch 155/509 | d_loss: 0.4642 | g_loss: 3.4234
2023-06-03 23:27:54 | Epoch [40/50] | Batch 160/509 | d_loss: 0.3921 | g_loss: 4.3561
2023-06-03 23:27:56 | Epoch [40/50] | Batch 165/509 | d_loss: 0.3864 | g_loss: 3.7066
2023-06-03 23:27:57 | Epoch [40/50] | Batch 170/509 | d_loss: 0.3689 | g_loss: 3.8295
2023-06-03 23:27:59 | Epoch [40/50] | Batch 175/509 | d_loss: 0.4167 | g_loss: 4.2452
2023-06-03 23:28:01 | Epoch [40/50] | Batch 180/509 | d_loss: 0.3887 | g_loss: 4.4176
2023-06-03 23:28:02 | Epoch [40/50] | Batch 185/509 | d_loss: 0.3928 | g_loss: 4.0967
2023-06-03 23:28:04 | Epoch [40/50] | Batch 190/509 | d_loss: 0.7011 | g_loss: 5.7334
2023-06-03 23:28:06 | Epoch [40/50] | Batch 195/509 | d_loss: 0.7807 | g_loss: 4.8462
2023-06-03 23:28:07 | Epoch [40/50] | Batch 200/509 | d_loss: 0.5866 | g_loss: 2.2414
2023-06-03 23:28:09 | Epoch [40/50] | Batch 205/509 | d_loss: 0.5897 | g_loss: 3.9938
2023-06-03 23:28:11 | Epoch [40/50] | Batch 210/509 | d_loss: 0.4543 | g_loss: 3.6378
2023-06-03 23:28:12 | Epoch [40/50] | Batch 215/509 | d_loss: 0.5099 | g_loss: 3.8670
2023-06-03 23:28:14 | Epoch [40/50] | Batch 220/509 | d_loss: 0.7160 | g_loss: 4.6587
2023-06-03 23:28:15 | Epoch [40/50] | Batch 225/509 | d_loss: 0.4560 | g_loss: 4.4622
2023-06-03 23:28:17 | Epoch [40/50] | Batch 230/509 | d_loss: 0.6148 | g_loss: 2.5498
2023-06-03 23:28:19 | Epoch [40/50] | Batch 235/509 | d_loss: 0.3934 | g_loss: 4.2444
2023-06-03 23:28:20 | Epoch [40/50] | Batch 240/509 | d_loss: 0.4422 | g_loss: 4.1140
2023-06-03 23:28:22 | Epoch [40/50] | Batch 245/509 | d_loss: 0.5150 | g_loss: 4.0010
2023-06-03 23:28:24 | Epoch [40/50] | Batch 250/509 | d_loss: 0.4578 | g_loss: 3.9242
2023-06-03 23:28:25 | Epoch [40/50] | Batch 255/509 | d_loss: 0.4833 | g_loss: 3.0952
2023-06-03 23:28:27 | Epoch [40/50] | Batch 260/509 | d_loss: 0.3944 | g_loss: 4.6943
2023-06-03 23:28:29 | Epoch [40/50] | Batch 265/509 | d_loss: 0.4143 | g_loss: 4.4929
2023-06-03 23:28:30 | Epoch [40/50] | Batch 270/509 | d_loss: 0.3729 | g_loss: 4.1851
2023-06-03 23:28:32 | Epoch [40/50] | Batch 275/509 | d_loss: 0.3839 | g_loss: 3.6341
2023-06-03 23:28:34 | Epoch [40/50] | Batch 280/509 | d_loss: 0.3802 | g_loss: 3.8767
2023-06-03 23:28:35 | Epoch [40/50] | Batch 285/509 | d_loss: 0.4132 | g_loss: 3.7700
2023-06-03 23:28:37 | Epoch [40/50] | Batch 290/509 | d_loss: 0.3619 | g_loss: 3.8367
2023-06-03 23:28:38 | Epoch [40/50] | Batch 295/509 | d_loss: 0.4205 | g_loss: 5.6455
2023-06-03 23:28:40 | Epoch [40/50] | Batch 300/509 | d_loss: 0.3648 | g_loss: 4.4872
2023-06-03 23:28:42 | Epoch [40/50] | Batch 305/509 | d_loss: 0.3732 | g_loss: 4.7690
2023-06-03 23:28:43 | Epoch [40/50] | Batch 310/509 | d_loss: 0.5398 | g_loss: 3.7654
2023-06-03 23:28:45 | Epoch [40/50] | Batch 315/509 | d_loss: 0.4644 | g_loss: 3.4805
2023-06-03 23:28:47 | Epoch [40/50] | Batch 320/509 | d_loss: 0.3787 | g_loss: 4.7124
2023-06-03 23:28:48 | Epoch [40/50] | Batch 325/509 | d_loss: 0.3804 | g_loss: 4.2538
2023-06-03 23:28:50 | Epoch [40/50] | Batch 330/509 | d_loss: 0.3774 | g_loss: 5.0684
2023-06-03 23:28:52 | Epoch [40/50] | Batch 335/509 | d_loss: 0.3617 | g_loss: 4.6155
2023-06-03 23:28:53 | Epoch [40/50] | Batch 340/509 | d_loss: 0.3650 | g_loss: 4.1786
2023-06-03 23:28:55 | Epoch [40/50] | Batch 345/509 | d_loss: 0.4809 | g_loss: 5.0650
2023-06-03 23:28:56 | Epoch [40/50] | Batch 350/509 | d_loss: 0.4453 | g_loss: 4.1660
2023-06-03 23:28:58 | Epoch [40/50] | Batch 355/509 | d_loss: 0.4857 | g_loss: 4.5540
2023-06-03 23:29:00 | Epoch [40/50] | Batch 360/509 | d_loss: 0.3615 | g_loss: 5.5718
2023-06-03 23:29:01 | Epoch [40/50] | Batch 365/509 | d_loss: 0.3962 | g_loss: 3.6385
2023-06-03 23:29:03 | Epoch [40/50] | Batch 370/509 | d_loss: 0.3985 | g_loss: 3.5736
2023-06-03 23:29:05 | Epoch [40/50] | Batch 375/509 | d_loss: 0.3861 | g_loss: 4.7360
2023-06-03 23:29:06 | Epoch [40/50] | Batch 380/509 | d_loss: 0.4610 | g_loss: 2.6105
2023-06-03 23:29:08 | Epoch [40/50] | Batch 385/509 | d_loss: 0.6074 | g_loss: 5.5765
2023-06-03 23:29:10 | Epoch [40/50] | Batch 390/509 | d_loss: 0.4298 | g_loss: 3.3299
2023-06-03 23:29:11 | Epoch [40/50] | Batch 395/509 | d_loss: 0.4089 | g_loss: 3.7523
2023-06-03 23:29:13 | Epoch [40/50] | Batch 400/509 | d_loss: 0.5441 | g_loss: 3.9302
2023-06-03 23:29:15 | Epoch [40/50] | Batch 405/509 | d_loss: 0.4010 | g_loss: 4.9649
2023-06-03 23:29:16 | Epoch [40/50] | Batch 410/509 | d_loss: 0.4375 | g_loss: 5.4565
2023-06-03 23:29:18 | Epoch [40/50] | Batch 415/509 | d_loss: 0.3783 | g_loss: 5.0329
2023-06-03 23:29:19 | Epoch [40/50] | Batch 420/509 | d_loss: 0.3953 | g_loss: 3.4068
2023-06-03 23:29:21 | Epoch [40/50] | Batch 425/509 | d_loss: 0.3749 | g_loss: 3.8711
2023-06-03 23:29:23 | Epoch [40/50] | Batch 430/509 | d_loss: 0.3848 | g_loss: 4.8510
2023-06-03 23:29:24 | Epoch [40/50] | Batch 435/509 | d_loss: 0.4452 | g_loss: 4.4260
2023-06-03 23:29:26 | Epoch [40/50] | Batch 440/509 | d_loss: 0.3761 | g_loss: 3.3383
2023-06-03 23:29:28 | Epoch [40/50] | Batch 445/509 | d_loss: 0.4529 | g_loss: 5.1920
2023-06-03 23:29:29 | Epoch [40/50] | Batch 450/509 | d_loss: 0.5091 | g_loss: 3.6381
2023-06-03 23:29:31 | Epoch [40/50] | Batch 455/509 | d_loss: 0.7331 | g_loss: 1.6984
2023-06-03 23:29:33 | Epoch [40/50] | Batch 460/509 | d_loss: 0.4002 | g_loss: 4.7707
2023-06-03 23:29:34 | Epoch [40/50] | Batch 465/509 | d_loss: 0.4310 | g_loss: 3.4002
2023-06-03 23:29:36 | Epoch [40/50] | Batch 470/509 | d_loss: 0.7749 | g_loss: 5.0983
2023-06-03 23:29:37 | Epoch [40/50] | Batch 475/509 | d_loss: 0.4377 | g_loss: 4.7107
2023-06-03 23:29:39 | Epoch [40/50] | Batch 480/509 | d_loss: 0.4627 | g_loss: 3.9552
2023-06-03 23:29:41 | Epoch [40/50] | Batch 485/509 | d_loss: 0.3940 | g_loss: 3.6838
2023-06-03 23:29:42 | Epoch [40/50] | Batch 490/509 | d_loss: 0.3804 | g_loss: 3.6221
2023-06-03 23:29:44 | Epoch [40/50] | Batch 495/509 | d_loss: 0.4707 | g_loss: 3.5301
2023-06-03 23:29:46 | Epoch [40/50] | Batch 500/509 | d_loss: 0.3699 | g_loss: 2.7898
2023-06-03 23:29:47 | Epoch [40/50] | Batch 505/509 | d_loss: 0.3924 | g_loss: 4.0648

2023-06-03 23:29:50 | Epoch [41/50] | Batch 0/509 | d_loss: 0.4483 | g_loss: 3.9407
2023-06-03 23:29:51 | Epoch [41/50] | Batch 5/509 | d_loss: 0.3759 | g_loss: 4.5380
2023-06-03 23:29:53 | Epoch [41/50] | Batch 10/509 | d_loss: 0.3826 | g_loss: 4.3044
2023-06-03 23:29:55 | Epoch [41/50] | Batch 15/509 | d_loss: 0.4032 | g_loss: 4.4596
2023-06-03 23:29:56 | Epoch [41/50] | Batch 20/509 | d_loss: 0.3762 | g_loss: 3.6742
2023-06-03 23:29:58 | Epoch [41/50] | Batch 25/509 | d_loss: 0.3746 | g_loss: 3.4584
2023-06-03 23:30:00 | Epoch [41/50] | Batch 30/509 | d_loss: 0.3893 | g_loss: 4.2863
2023-06-03 23:30:01 | Epoch [41/50] | Batch 35/509 | d_loss: 0.3783 | g_loss: 5.2676
2023-06-03 23:30:03 | Epoch [41/50] | Batch 40/509 | d_loss: 0.4735 | g_loss: 3.5263
2023-06-03 23:30:04 | Epoch [41/50] | Batch 45/509 | d_loss: 0.4442 | g_loss: 3.5233
2023-06-03 23:30:06 | Epoch [41/50] | Batch 50/509 | d_loss: 0.4391 | g_loss: 3.9337
2023-06-03 23:30:08 | Epoch [41/50] | Batch 55/509 | d_loss: 0.3641 | g_loss: 4.9258
2023-06-03 23:30:09 | Epoch [41/50] | Batch 60/509 | d_loss: 0.3864 | g_loss: 4.0636
2023-06-03 23:30:11 | Epoch [41/50] | Batch 65/509 | d_loss: 0.4335 | g_loss: 5.7340
2023-06-03 23:30:13 | Epoch [41/50] | Batch 70/509 | d_loss: 0.3837 | g_loss: 4.2346
2023-06-03 23:30:14 | Epoch [41/50] | Batch 75/509 | d_loss: 0.3549 | g_loss: 5.1068
2023-06-03 23:30:16 | Epoch [41/50] | Batch 80/509 | d_loss: 0.3941 | g_loss: 4.6646
2023-06-03 23:30:18 | Epoch [41/50] | Batch 85/509 | d_loss: 0.3725 | g_loss: 4.4360
2023-06-03 23:30:19 | Epoch [41/50] | Batch 90/509 | d_loss: 0.3818 | g_loss: 4.2816
2023-06-03 23:30:21 | Epoch [41/50] | Batch 95/509 | d_loss: 1.6781 | g_loss: 1.4719
2023-06-03 23:30:22 | Epoch [41/50] | Batch 100/509 | d_loss: 0.5882 | g_loss: 4.8576
2023-06-03 23:30:24 | Epoch [41/50] | Batch 105/509 | d_loss: 0.4349 | g_loss: 3.0663
2023-06-03 23:30:26 | Epoch [41/50] | Batch 110/509 | d_loss: 0.4984 | g_loss: 2.3289
2023-06-03 23:30:27 | Epoch [41/50] | Batch 115/509 | d_loss: 0.3618 | g_loss: 5.1139
2023-06-03 23:30:29 | Epoch [41/50] | Batch 120/509 | d_loss: 0.5114 | g_loss: 3.6903
2023-06-03 23:30:31 | Epoch [41/50] | Batch 125/509 | d_loss: 1.4549 | g_loss: 1.2718
2023-06-03 23:30:32 | Epoch [41/50] | Batch 130/509 | d_loss: 0.4877 | g_loss: 3.8388
2023-06-03 23:30:34 | Epoch [41/50] | Batch 135/509 | d_loss: 0.3987 | g_loss: 3.9147
2023-06-03 23:30:36 | Epoch [41/50] | Batch 140/509 | d_loss: 0.4869 | g_loss: 3.5921
2023-06-03 23:30:37 | Epoch [41/50] | Batch 145/509 | d_loss: 0.4747 | g_loss: 3.3460
2023-06-03 23:30:39 | Epoch [41/50] | Batch 150/509 | d_loss: 0.4817 | g_loss: 2.9335
2023-06-03 23:30:40 | Epoch [41/50] | Batch 155/509 | d_loss: 0.5221 | g_loss: 2.9889
2023-06-03 23:30:42 | Epoch [41/50] | Batch 160/509 | d_loss: 0.4029 | g_loss: 3.9192
2023-06-03 23:30:44 | Epoch [41/50] | Batch 165/509 | d_loss: 0.3705 | g_loss: 5.0853
2023-06-03 23:30:45 | Epoch [41/50] | Batch 170/509 | d_loss: 0.4095 | g_loss: 3.7166
2023-06-03 23:30:47 | Epoch [41/50] | Batch 175/509 | d_loss: 0.4110 | g_loss: 3.6032
2023-06-03 23:30:49 | Epoch [41/50] | Batch 180/509 | d_loss: 0.4444 | g_loss: 4.5368
2023-06-03 23:30:50 | Epoch [41/50] | Batch 185/509 | d_loss: 0.4221 | g_loss: 2.7078
2023-06-03 23:30:52 | Epoch [41/50] | Batch 190/509 | d_loss: 0.4344 | g_loss: 3.1528
2023-06-03 23:30:54 | Epoch [41/50] | Batch 195/509 | d_loss: 0.5239 | g_loss: 4.8075
2023-06-03 23:30:55 | Epoch [41/50] | Batch 200/509 | d_loss: 0.3778 | g_loss: 4.2165
2023-06-03 23:30:57 | Epoch [41/50] | Batch 205/509 | d_loss: 0.4019 | g_loss: 5.2573
2023-06-03 23:30:58 | Epoch [41/50] | Batch 210/509 | d_loss: 0.3700 | g_loss: 4.6629
2023-06-03 23:31:00 | Epoch [41/50] | Batch 215/509 | d_loss: 0.3769 | g_loss: 4.6765
2023-06-03 23:31:02 | Epoch [41/50] | Batch 220/509 | d_loss: 0.4083 | g_loss: 3.4731
2023-06-03 23:31:03 | Epoch [41/50] | Batch 225/509 | d_loss: 0.3870 | g_loss: 5.0757
2023-06-03 23:31:05 | Epoch [41/50] | Batch 230/509 | d_loss: 0.4431 | g_loss: 3.4408
2023-06-03 23:31:07 | Epoch [41/50] | Batch 235/509 | d_loss: 0.3476 | g_loss: 4.8592
2023-06-03 23:31:08 | Epoch [41/50] | Batch 240/509 | d_loss: 0.3518 | g_loss: 5.9754
2023-06-03 23:31:10 | Epoch [41/50] | Batch 245/509 | d_loss: 0.4121 | g_loss: 3.1938
2023-06-03 23:31:12 | Epoch [41/50] | Batch 250/509 | d_loss: 0.5017 | g_loss: 3.9834
2023-06-03 23:31:13 | Epoch [41/50] | Batch 255/509 | d_loss: 0.4152 | g_loss: 4.7790
2023-06-03 23:31:15 | Epoch [41/50] | Batch 260/509 | d_loss: 0.3887 | g_loss: 3.7001
2023-06-03 23:31:16 | Epoch [41/50] | Batch 265/509 | d_loss: 0.3785 | g_loss: 4.2937
2023-06-03 23:31:18 | Epoch [41/50] | Batch 270/509 | d_loss: 0.4135 | g_loss: 3.8801
2023-06-03 23:31:20 | Epoch [41/50] | Batch 275/509 | d_loss: 0.3762 | g_loss: 3.7182
2023-06-03 23:31:21 | Epoch [41/50] | Batch 280/509 | d_loss: 0.5222 | g_loss: 6.7353
2023-06-03 23:31:23 | Epoch [41/50] | Batch 285/509 | d_loss: 0.3711 | g_loss: 4.8193
2023-06-03 23:31:25 | Epoch [41/50] | Batch 290/509 | d_loss: 0.3793 | g_loss: 5.0067
2023-06-03 23:31:26 | Epoch [41/50] | Batch 295/509 | d_loss: 0.4851 | g_loss: 3.5610
2023-06-03 23:31:28 | Epoch [41/50] | Batch 300/509 | d_loss: 0.5944 | g_loss: 4.4975
2023-06-03 23:31:30 | Epoch [41/50] | Batch 305/509 | d_loss: 0.4982 | g_loss: 3.3918
2023-06-03 23:31:31 | Epoch [41/50] | Batch 310/509 | d_loss: 0.4168 | g_loss: 3.9810
2023-06-03 23:31:33 | Epoch [41/50] | Batch 315/509 | d_loss: 0.3998 | g_loss: 4.7905
2023-06-03 23:31:34 | Epoch [41/50] | Batch 320/509 | d_loss: 0.4821 | g_loss: 4.4473
2023-06-03 23:31:36 | Epoch [41/50] | Batch 325/509 | d_loss: 0.4247 | g_loss: 4.5448
2023-06-03 23:31:38 | Epoch [41/50] | Batch 330/509 | d_loss: 0.3616 | g_loss: 3.6001
2023-06-03 23:31:39 | Epoch [41/50] | Batch 335/509 | d_loss: 0.4166 | g_loss: 4.1024
2023-06-03 23:31:41 | Epoch [41/50] | Batch 340/509 | d_loss: 0.3632 | g_loss: 4.5836
2023-06-03 23:31:43 | Epoch [41/50] | Batch 345/509 | d_loss: 0.4857 | g_loss: 4.6220
2023-06-03 23:31:44 | Epoch [41/50] | Batch 350/509 | d_loss: 0.4731 | g_loss: 4.2841
2023-06-03 23:31:46 | Epoch [41/50] | Batch 355/509 | d_loss: 0.3835 | g_loss: 4.1615
2023-06-03 23:31:48 | Epoch [41/50] | Batch 360/509 | d_loss: 0.3598 | g_loss: 4.7514
2023-06-03 23:31:49 | Epoch [41/50] | Batch 365/509 | d_loss: 0.3986 | g_loss: 4.0803
2023-06-03 23:31:51 | Epoch [41/50] | Batch 370/509 | d_loss: 0.3400 | g_loss: 5.8746
2023-06-03 23:31:52 | Epoch [41/50] | Batch 375/509 | d_loss: 0.3815 | g_loss: 4.3499
2023-06-03 23:31:54 | Epoch [41/50] | Batch 380/509 | d_loss: 0.4018 | g_loss: 4.5553
2023-06-03 23:31:56 | Epoch [41/50] | Batch 385/509 | d_loss: 0.3926 | g_loss: 3.1261
2023-06-03 23:31:57 | Epoch [41/50] | Batch 390/509 | d_loss: 0.3812 | g_loss: 4.5848
2023-06-03 23:31:59 | Epoch [41/50] | Batch 395/509 | d_loss: 0.3747 | g_loss: 3.8216
2023-06-03 23:32:01 | Epoch [41/50] | Batch 400/509 | d_loss: 0.3607 | g_loss: 6.3243
2023-06-03 23:32:02 | Epoch [41/50] | Batch 405/509 | d_loss: 0.4063 | g_loss: 3.6770
2023-06-03 23:32:04 | Epoch [41/50] | Batch 410/509 | d_loss: 0.3599 | g_loss: 5.9315
2023-06-03 23:32:06 | Epoch [41/50] | Batch 415/509 | d_loss: 0.3740 | g_loss: 4.7004
2023-06-03 23:32:07 | Epoch [41/50] | Batch 420/509 | d_loss: 0.8827 | g_loss: 1.4704
2023-06-03 23:32:09 | Epoch [41/50] | Batch 425/509 | d_loss: 0.5395 | g_loss: 5.2806
2023-06-03 23:32:10 | Epoch [41/50] | Batch 430/509 | d_loss: 0.5162 | g_loss: 2.7327
2023-06-03 23:32:12 | Epoch [41/50] | Batch 435/509 | d_loss: 0.4140 | g_loss: 3.4382
2023-06-03 23:32:14 | Epoch [41/50] | Batch 440/509 | d_loss: 0.3854 | g_loss: 3.5976
2023-06-03 23:32:15 | Epoch [41/50] | Batch 445/509 | d_loss: 0.3583 | g_loss: 4.4677
2023-06-03 23:32:17 | Epoch [41/50] | Batch 450/509 | d_loss: 0.3642 | g_loss: 4.7096
2023-06-03 23:32:19 | Epoch [41/50] | Batch 455/509 | d_loss: 0.4000 | g_loss: 4.3986
2023-06-03 23:32:20 | Epoch [41/50] | Batch 460/509 | d_loss: 0.3543 | g_loss: 5.6238
2023-06-03 23:32:22 | Epoch [41/50] | Batch 465/509 | d_loss: 0.3735 | g_loss: 3.9500
2023-06-03 23:32:24 | Epoch [41/50] | Batch 470/509 | d_loss: 0.5210 | g_loss: 2.6169
2023-06-03 23:32:25 | Epoch [41/50] | Batch 475/509 | d_loss: 0.3899 | g_loss: 4.6386
2023-06-03 23:32:27 | Epoch [41/50] | Batch 480/509 | d_loss: 0.4137 | g_loss: 3.2955
2023-06-03 23:32:28 | Epoch [41/50] | Batch 485/509 | d_loss: 0.3680 | g_loss: 4.3541
2023-06-03 23:32:30 | Epoch [41/50] | Batch 490/509 | d_loss: 0.3889 | g_loss: 4.6214
2023-06-03 23:32:32 | Epoch [41/50] | Batch 495/509 | d_loss: 0.3766 | g_loss: 4.5920
2023-06-03 23:32:33 | Epoch [41/50] | Batch 500/509 | d_loss: 0.3638 | g_loss: 6.1315
2023-06-03 23:32:35 | Epoch [41/50] | Batch 505/509 | d_loss: 0.4214 | g_loss: 5.2596

2023-06-03 23:32:38 | Epoch [42/50] | Batch 0/509 | d_loss: 0.3950 | g_loss: 5.5752
2023-06-03 23:32:39 | Epoch [42/50] | Batch 5/509 | d_loss: 0.3574 | g_loss: 5.8729
2023-06-03 23:32:41 | Epoch [42/50] | Batch 10/509 | d_loss: 0.3931 | g_loss: 3.7210
2023-06-03 23:32:43 | Epoch [42/50] | Batch 15/509 | d_loss: 0.3668 | g_loss: 6.4606
2023-06-03 23:32:44 | Epoch [42/50] | Batch 20/509 | d_loss: 0.4092 | g_loss: 4.7613
2023-06-03 23:32:46 | Epoch [42/50] | Batch 25/509 | d_loss: 0.3460 | g_loss: 4.6288
2023-06-03 23:32:47 | Epoch [42/50] | Batch 30/509 | d_loss: 0.3954 | g_loss: 5.3564
2023-06-03 23:32:49 | Epoch [42/50] | Batch 35/509 | d_loss: 0.3497 | g_loss: 5.4283
2023-06-03 23:32:51 | Epoch [42/50] | Batch 40/509 | d_loss: 0.3513 | g_loss: 5.3911
2023-06-03 23:32:52 | Epoch [42/50] | Batch 45/509 | d_loss: 0.3815 | g_loss: 4.4362
2023-06-03 23:32:54 | Epoch [42/50] | Batch 50/509 | d_loss: 0.3753 | g_loss: 5.1408
2023-06-03 23:32:56 | Epoch [42/50] | Batch 55/509 | d_loss: 0.3800 | g_loss: 3.5950
2023-06-03 23:32:57 | Epoch [42/50] | Batch 60/509 | d_loss: 0.3488 | g_loss: 5.7097
2023-06-03 23:32:59 | Epoch [42/50] | Batch 65/509 | d_loss: 0.4829 | g_loss: 4.7472
2023-06-03 23:33:01 | Epoch [42/50] | Batch 70/509 | d_loss: 3.2907 | g_loss: 0.6520
2023-06-03 23:33:02 | Epoch [42/50] | Batch 75/509 | d_loss: 1.1399 | g_loss: 3.6188
2023-06-03 23:33:04 | Epoch [42/50] | Batch 80/509 | d_loss: 0.8853 | g_loss: 2.7613
2023-06-03 23:33:06 | Epoch [42/50] | Batch 85/509 | d_loss: 0.6727 | g_loss: 2.6850
2023-06-03 23:33:07 | Epoch [42/50] | Batch 90/509 | d_loss: 0.5915 | g_loss: 2.9472
2023-06-03 23:33:09 | Epoch [42/50] | Batch 95/509 | d_loss: 0.5994 | g_loss: 2.1848
2023-06-03 23:33:10 | Epoch [42/50] | Batch 100/509 | d_loss: 0.5895 | g_loss: 3.0624
2023-06-03 23:33:12 | Epoch [42/50] | Batch 105/509 | d_loss: 0.5535 | g_loss: 3.8016
2023-06-03 23:33:14 | Epoch [42/50] | Batch 110/509 | d_loss: 0.7134 | g_loss: 3.3942
2023-06-03 23:33:15 | Epoch [42/50] | Batch 115/509 | d_loss: 0.5447 | g_loss: 2.8603
2023-06-03 23:33:17 | Epoch [42/50] | Batch 120/509 | d_loss: 0.4978 | g_loss: 2.7318
2023-06-03 23:33:19 | Epoch [42/50] | Batch 125/509 | d_loss: 0.4675 | g_loss: 2.8313
2023-06-03 23:33:20 | Epoch [42/50] | Batch 130/509 | d_loss: 0.4668 | g_loss: 2.4847
2023-06-03 23:33:22 | Epoch [42/50] | Batch 135/509 | d_loss: 0.5971 | g_loss: 2.3175
2023-06-03 23:33:24 | Epoch [42/50] | Batch 140/509 | d_loss: 0.3823 | g_loss: 4.3372
2023-06-03 23:33:25 | Epoch [42/50] | Batch 145/509 | d_loss: 0.6964 | g_loss: 4.1606
2023-06-03 23:33:27 | Epoch [42/50] | Batch 150/509 | d_loss: 0.4356 | g_loss: 4.1629
2023-06-03 23:33:28 | Epoch [42/50] | Batch 155/509 | d_loss: 0.4501 | g_loss: 3.1819
2023-06-03 23:33:30 | Epoch [42/50] | Batch 160/509 | d_loss: 0.6072 | g_loss: 4.3835
2023-06-03 23:33:32 | Epoch [42/50] | Batch 165/509 | d_loss: 0.4088 | g_loss: 3.8821
2023-06-03 23:33:33 | Epoch [42/50] | Batch 170/509 | d_loss: 0.5454 | g_loss: 3.9305
2023-06-03 23:33:35 | Epoch [42/50] | Batch 175/509 | d_loss: 0.8426 | g_loss: 4.6373
2023-06-03 23:33:37 | Epoch [42/50] | Batch 180/509 | d_loss: 0.4282 | g_loss: 4.0040
2023-06-03 23:33:38 | Epoch [42/50] | Batch 185/509 | d_loss: 0.3965 | g_loss: 3.9822
2023-06-03 23:33:40 | Epoch [42/50] | Batch 190/509 | d_loss: 0.4432 | g_loss: 3.8604
2023-06-03 23:33:42 | Epoch [42/50] | Batch 195/509 | d_loss: 0.4731 | g_loss: 3.6273
2023-06-03 23:33:43 | Epoch [42/50] | Batch 200/509 | d_loss: 0.3851 | g_loss: 5.6158
2023-06-03 23:33:45 | Epoch [42/50] | Batch 205/509 | d_loss: 0.3809 | g_loss: 3.3362
2023-06-03 23:33:47 | Epoch [42/50] | Batch 210/509 | d_loss: 0.4480 | g_loss: 3.5828
2023-06-03 23:33:48 | Epoch [42/50] | Batch 215/509 | d_loss: 0.3736 | g_loss: 4.0487
2023-06-03 23:33:50 | Epoch [42/50] | Batch 220/509 | d_loss: 0.3857 | g_loss: 5.7829
2023-06-03 23:33:51 | Epoch [42/50] | Batch 225/509 | d_loss: 0.4690 | g_loss: 3.6960
2023-06-03 23:33:53 | Epoch [42/50] | Batch 230/509 | d_loss: 0.4326 | g_loss: 3.0919
2023-06-03 23:33:55 | Epoch [42/50] | Batch 235/509 | d_loss: 0.3892 | g_loss: 4.5447
2023-06-03 23:33:56 | Epoch [42/50] | Batch 240/509 | d_loss: 0.3791 | g_loss: 5.1614
2023-06-03 23:33:58 | Epoch [42/50] | Batch 245/509 | d_loss: 0.4037 | g_loss: 4.1322
2023-06-03 23:34:00 | Epoch [42/50] | Batch 250/509 | d_loss: 0.4020 | g_loss: 4.0695
2023-06-03 23:34:01 | Epoch [42/50] | Batch 255/509 | d_loss: 0.5155 | g_loss: 4.8015
2023-06-03 23:34:03 | Epoch [42/50] | Batch 260/509 | d_loss: 0.3727 | g_loss: 4.5566
2023-06-03 23:34:05 | Epoch [42/50] | Batch 265/509 | d_loss: 0.4467 | g_loss: 3.9349
2023-06-03 23:34:06 | Epoch [42/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 4.3356
2023-06-03 23:34:08 | Epoch [42/50] | Batch 275/509 | d_loss: 0.3956 | g_loss: 4.4599
2023-06-03 23:34:09 | Epoch [42/50] | Batch 280/509 | d_loss: 0.4549 | g_loss: 4.0578
2023-06-03 23:34:11 | Epoch [42/50] | Batch 285/509 | d_loss: 0.3691 | g_loss: 4.1922
2023-06-03 23:34:13 | Epoch [42/50] | Batch 290/509 | d_loss: 0.4401 | g_loss: 4.5944
2023-06-03 23:34:14 | Epoch [42/50] | Batch 295/509 | d_loss: 0.3874 | g_loss: 3.6880
2023-06-03 23:34:16 | Epoch [42/50] | Batch 300/509 | d_loss: 0.3841 | g_loss: 4.2489
2023-06-03 23:34:18 | Epoch [42/50] | Batch 305/509 | d_loss: 0.3926 | g_loss: 3.9860
2023-06-03 23:34:19 | Epoch [42/50] | Batch 310/509 | d_loss: 0.3465 | g_loss: 8.1055
2023-06-03 23:34:21 | Epoch [42/50] | Batch 315/509 | d_loss: 0.4811 | g_loss: 3.2145
2023-06-03 23:34:23 | Epoch [42/50] | Batch 320/509 | d_loss: 0.3896 | g_loss: 3.6063
2023-06-03 23:34:24 | Epoch [42/50] | Batch 325/509 | d_loss: 0.3682 | g_loss: 4.6762
2023-06-03 23:34:26 | Epoch [42/50] | Batch 330/509 | d_loss: 0.3977 | g_loss: 4.0993
2023-06-03 23:34:28 | Epoch [42/50] | Batch 335/509 | d_loss: 0.3633 | g_loss: 3.8639
2023-06-03 23:34:29 | Epoch [42/50] | Batch 340/509 | d_loss: 0.4159 | g_loss: 2.7432
2023-06-03 23:34:31 | Epoch [42/50] | Batch 345/509 | d_loss: 0.5894 | g_loss: 1.9222
2023-06-03 23:34:32 | Epoch [42/50] | Batch 350/509 | d_loss: 0.4985 | g_loss: 4.6246
2023-06-03 23:34:34 | Epoch [42/50] | Batch 355/509 | d_loss: 0.5831 | g_loss: 2.1546
2023-06-03 23:34:36 | Epoch [42/50] | Batch 360/509 | d_loss: 0.4614 | g_loss: 2.6956
2023-06-03 23:34:37 | Epoch [42/50] | Batch 365/509 | d_loss: 0.5213 | g_loss: 4.4123
2023-06-03 23:34:39 | Epoch [42/50] | Batch 370/509 | d_loss: 0.4370 | g_loss: 3.0713
2023-06-03 23:34:41 | Epoch [42/50] | Batch 375/509 | d_loss: 0.3664 | g_loss: 5.3637
2023-06-03 23:34:42 | Epoch [42/50] | Batch 380/509 | d_loss: 0.3630 | g_loss: 4.5017
2023-06-03 23:34:44 | Epoch [42/50] | Batch 385/509 | d_loss: 0.3555 | g_loss: 5.8749
2023-06-03 23:34:46 | Epoch [42/50] | Batch 390/509 | d_loss: 0.3777 | g_loss: 2.9782
2023-06-03 23:34:47 | Epoch [42/50] | Batch 395/509 | d_loss: 0.3809 | g_loss: 3.3420
2023-06-03 23:34:49 | Epoch [42/50] | Batch 400/509 | d_loss: 0.3636 | g_loss: 4.7352
2023-06-03 23:34:50 | Epoch [42/50] | Batch 405/509 | d_loss: 0.4001 | g_loss: 5.6018
2023-06-03 23:34:52 | Epoch [42/50] | Batch 410/509 | d_loss: 0.3583 | g_loss: 4.3255
2023-06-03 23:34:54 | Epoch [42/50] | Batch 415/509 | d_loss: 0.3638 | g_loss: 4.6633
2023-06-03 23:34:55 | Epoch [42/50] | Batch 420/509 | d_loss: 0.5347 | g_loss: 4.4819
2023-06-03 23:34:57 | Epoch [42/50] | Batch 425/509 | d_loss: 0.4002 | g_loss: 4.4674
2023-06-03 23:34:59 | Epoch [42/50] | Batch 430/509 | d_loss: 0.4326 | g_loss: 4.6079
2023-06-03 23:35:00 | Epoch [42/50] | Batch 435/509 | d_loss: 0.3612 | g_loss: 4.4969
2023-06-03 23:35:02 | Epoch [42/50] | Batch 440/509 | d_loss: 0.3725 | g_loss: 3.6932
2023-06-03 23:35:04 | Epoch [42/50] | Batch 445/509 | d_loss: 0.3824 | g_loss: 3.9629
2023-06-03 23:35:05 | Epoch [42/50] | Batch 450/509 | d_loss: 0.3622 | g_loss: 3.8674
2023-06-03 23:35:07 | Epoch [42/50] | Batch 455/509 | d_loss: 0.3626 | g_loss: 5.2040
2023-06-03 23:35:09 | Epoch [42/50] | Batch 460/509 | d_loss: 0.5099 | g_loss: 3.3084
2023-06-03 23:35:10 | Epoch [42/50] | Batch 465/509 | d_loss: 0.3970 | g_loss: 3.5331
2023-06-03 23:35:12 | Epoch [42/50] | Batch 470/509 | d_loss: 0.3699 | g_loss: 5.6698
2023-06-03 23:35:13 | Epoch [42/50] | Batch 475/509 | d_loss: 0.6016 | g_loss: 2.2480
2023-06-03 23:35:15 | Epoch [42/50] | Batch 480/509 | d_loss: 0.4189 | g_loss: 3.3199
2023-06-03 23:35:17 | Epoch [42/50] | Batch 485/509 | d_loss: 0.3892 | g_loss: 4.8322
2023-06-03 23:35:18 | Epoch [42/50] | Batch 490/509 | d_loss: 0.3689 | g_loss: 4.5773
2023-06-03 23:35:20 | Epoch [42/50] | Batch 495/509 | d_loss: 0.3598 | g_loss: 5.0021
2023-06-03 23:35:22 | Epoch [42/50] | Batch 500/509 | d_loss: 0.3782 | g_loss: 5.3298
2023-06-03 23:35:23 | Epoch [42/50] | Batch 505/509 | d_loss: 0.5854 | g_loss: 1.4848

2023-06-03 23:35:26 | Epoch [43/50] | Batch 0/509 | d_loss: 0.3918 | g_loss: 4.6164
2023-06-03 23:35:27 | Epoch [43/50] | Batch 5/509 | d_loss: 0.3980 | g_loss: 4.6681
2023-06-03 23:35:29 | Epoch [43/50] | Batch 10/509 | d_loss: 0.3801 | g_loss: 3.9510
2023-06-03 23:35:31 | Epoch [43/50] | Batch 15/509 | d_loss: 0.4752 | g_loss: 2.9211
2023-06-03 23:35:32 | Epoch [43/50] | Batch 20/509 | d_loss: 0.4225 | g_loss: 3.2362
2023-06-03 23:35:34 | Epoch [43/50] | Batch 25/509 | d_loss: 0.3910 | g_loss: 4.3547
2023-06-03 23:35:36 | Epoch [43/50] | Batch 30/509 | d_loss: 0.3539 | g_loss: 5.2932
2023-06-03 23:35:37 | Epoch [43/50] | Batch 35/509 | d_loss: 0.3720 | g_loss: 5.6015
2023-06-03 23:35:39 | Epoch [43/50] | Batch 40/509 | d_loss: 0.3803 | g_loss: 4.6804
2023-06-03 23:35:40 | Epoch [43/50] | Batch 45/509 | d_loss: 0.6016 | g_loss: 4.1788
2023-06-03 23:35:42 | Epoch [43/50] | Batch 50/509 | d_loss: 1.7314 | g_loss: 6.7904
2023-06-03 23:35:44 | Epoch [43/50] | Batch 55/509 | d_loss: 0.4479 | g_loss: 2.9238
2023-06-03 23:35:45 | Epoch [43/50] | Batch 60/509 | d_loss: 0.5899 | g_loss: 3.4455
2023-06-03 23:35:47 | Epoch [43/50] | Batch 65/509 | d_loss: 0.4767 | g_loss: 3.0943
2023-06-03 23:35:49 | Epoch [43/50] | Batch 70/509 | d_loss: 0.4150 | g_loss: 4.8363
2023-06-03 23:35:50 | Epoch [43/50] | Batch 75/509 | d_loss: 0.4254 | g_loss: 3.5714
2023-06-03 23:35:52 | Epoch [43/50] | Batch 80/509 | d_loss: 0.5558 | g_loss: 2.4832
2023-06-03 23:35:54 | Epoch [43/50] | Batch 85/509 | d_loss: 0.5192 | g_loss: 4.1324
2023-06-03 23:35:55 | Epoch [43/50] | Batch 90/509 | d_loss: 0.5279 | g_loss: 2.1550
2023-06-03 23:35:57 | Epoch [43/50] | Batch 95/509 | d_loss: 0.5361 | g_loss: 3.7422
2023-06-03 23:35:58 | Epoch [43/50] | Batch 100/509 | d_loss: 0.3837 | g_loss: 5.3403
2023-06-03 23:36:00 | Epoch [43/50] | Batch 105/509 | d_loss: 0.4349 | g_loss: 3.8674
2023-06-03 23:36:02 | Epoch [43/50] | Batch 110/509 | d_loss: 1.2644 | g_loss: 2.4801
2023-06-03 23:36:03 | Epoch [43/50] | Batch 115/509 | d_loss: 1.0275 | g_loss: 2.9441
2023-06-03 23:36:05 | Epoch [43/50] | Batch 120/509 | d_loss: 0.4673 | g_loss: 3.6753
2023-06-03 23:36:07 | Epoch [43/50] | Batch 125/509 | d_loss: 0.4064 | g_loss: 3.9458
2023-06-03 23:36:08 | Epoch [43/50] | Batch 130/509 | d_loss: 0.4529 | g_loss: 4.2425
2023-06-03 23:36:10 | Epoch [43/50] | Batch 135/509 | d_loss: 0.5134 | g_loss: 2.2262
2023-06-03 23:36:12 | Epoch [43/50] | Batch 140/509 | d_loss: 0.4359 | g_loss: 5.1402
2023-06-03 23:36:13 | Epoch [43/50] | Batch 145/509 | d_loss: 0.4167 | g_loss: 4.2446
2023-06-03 23:36:15 | Epoch [43/50] | Batch 150/509 | d_loss: 0.3789 | g_loss: 5.0729
2023-06-03 23:36:16 | Epoch [43/50] | Batch 155/509 | d_loss: 0.3757 | g_loss: 4.3554
2023-06-03 23:36:18 | Epoch [43/50] | Batch 160/509 | d_loss: 0.3757 | g_loss: 3.9675
2023-06-03 23:36:20 | Epoch [43/50] | Batch 165/509 | d_loss: 0.4899 | g_loss: 2.6133
2023-06-03 23:36:21 | Epoch [43/50] | Batch 170/509 | d_loss: 0.3796 | g_loss: 3.1448
2023-06-03 23:36:23 | Epoch [43/50] | Batch 175/509 | d_loss: 0.6268 | g_loss: 4.1054
2023-06-03 23:36:25 | Epoch [43/50] | Batch 180/509 | d_loss: 0.4434 | g_loss: 5.6168
2023-06-03 23:36:26 | Epoch [43/50] | Batch 185/509 | d_loss: 0.4655 | g_loss: 3.6234
2023-06-03 23:36:28 | Epoch [43/50] | Batch 190/509 | d_loss: 0.3990 | g_loss: 4.4163
2023-06-03 23:36:30 | Epoch [43/50] | Batch 195/509 | d_loss: 0.4147 | g_loss: 4.4529
2023-06-03 23:36:31 | Epoch [43/50] | Batch 200/509 | d_loss: 0.3649 | g_loss: 5.1749
2023-06-03 23:36:33 | Epoch [43/50] | Batch 205/509 | d_loss: 0.4310 | g_loss: 4.5861
2023-06-03 23:36:34 | Epoch [43/50] | Batch 210/509 | d_loss: 0.3516 | g_loss: 5.7621
2023-06-03 23:36:36 | Epoch [43/50] | Batch 215/509 | d_loss: 0.3542 | g_loss: 5.3569
2023-06-03 23:36:38 | Epoch [43/50] | Batch 220/509 | d_loss: 0.3738 | g_loss: 3.3671
2023-06-03 23:36:39 | Epoch [43/50] | Batch 225/509 | d_loss: 0.3853 | g_loss: 3.9376
2023-06-03 23:36:41 | Epoch [43/50] | Batch 230/509 | d_loss: 0.3841 | g_loss: 4.3802
2023-06-03 23:36:43 | Epoch [43/50] | Batch 235/509 | d_loss: 0.3882 | g_loss: 6.4858
2023-06-03 23:36:44 | Epoch [43/50] | Batch 240/509 | d_loss: 0.3699 | g_loss: 4.5630
2023-06-03 23:36:46 | Epoch [43/50] | Batch 245/509 | d_loss: 0.4505 | g_loss: 3.9439
2023-06-03 23:36:48 | Epoch [43/50] | Batch 250/509 | d_loss: 0.3490 | g_loss: 4.3885
2023-06-03 23:36:49 | Epoch [43/50] | Batch 255/509 | d_loss: 0.3574 | g_loss: 5.1051
2023-06-03 23:36:51 | Epoch [43/50] | Batch 260/509 | d_loss: 0.3617 | g_loss: 6.7115
2023-06-03 23:36:52 | Epoch [43/50] | Batch 265/509 | d_loss: 0.3897 | g_loss: 3.6681
2023-06-03 23:36:54 | Epoch [43/50] | Batch 270/509 | d_loss: 0.4219 | g_loss: 4.2815
2023-06-03 23:36:56 | Epoch [43/50] | Batch 275/509 | d_loss: 0.3684 | g_loss: 3.8806
2023-06-03 23:36:57 | Epoch [43/50] | Batch 280/509 | d_loss: 0.3698 | g_loss: 5.6786
2023-06-03 23:36:59 | Epoch [43/50] | Batch 285/509 | d_loss: 0.6139 | g_loss: 1.8053
2023-06-03 23:37:01 | Epoch [43/50] | Batch 290/509 | d_loss: 0.6377 | g_loss: 1.8491
2023-06-03 23:37:02 | Epoch [43/50] | Batch 295/509 | d_loss: 0.6643 | g_loss: 2.1577
2023-06-03 23:37:04 | Epoch [43/50] | Batch 300/509 | d_loss: 0.3969 | g_loss: 2.6923
2023-06-03 23:37:06 | Epoch [43/50] | Batch 305/509 | d_loss: 0.4907 | g_loss: 3.5265
2023-06-03 23:37:07 | Epoch [43/50] | Batch 310/509 | d_loss: 0.4152 | g_loss: 4.2499
2023-06-03 23:37:09 | Epoch [43/50] | Batch 315/509 | d_loss: 1.1823 | g_loss: 4.1790
2023-06-03 23:37:10 | Epoch [43/50] | Batch 320/509 | d_loss: 0.4819 | g_loss: 3.5174
2023-06-03 23:37:12 | Epoch [43/50] | Batch 325/509 | d_loss: 0.4093 | g_loss: 4.0389
2023-06-03 23:37:14 | Epoch [43/50] | Batch 330/509 | d_loss: 0.4319 | g_loss: 3.8999
2023-06-03 23:37:15 | Epoch [43/50] | Batch 335/509 | d_loss: 0.4058 | g_loss: 2.9095
2023-06-03 23:37:17 | Epoch [43/50] | Batch 340/509 | d_loss: 0.3598 | g_loss: 5.1504
2023-06-03 23:37:19 | Epoch [43/50] | Batch 345/509 | d_loss: 0.4708 | g_loss: 3.3618
2023-06-03 23:37:20 | Epoch [43/50] | Batch 350/509 | d_loss: 0.3683 | g_loss: 3.9113
2023-06-03 23:37:22 | Epoch [43/50] | Batch 355/509 | d_loss: 0.3856 | g_loss: 5.6855
2023-06-03 23:37:24 | Epoch [43/50] | Batch 360/509 | d_loss: 0.4186 | g_loss: 4.6121
2023-06-03 23:37:25 | Epoch [43/50] | Batch 365/509 | d_loss: 0.3721 | g_loss: 4.5458
2023-06-03 23:37:27 | Epoch [43/50] | Batch 370/509 | d_loss: 0.3695 | g_loss: 5.3671
2023-06-03 23:37:28 | Epoch [43/50] | Batch 375/509 | d_loss: 0.4278 | g_loss: 3.9419
2023-06-03 23:37:30 | Epoch [43/50] | Batch 380/509 | d_loss: 0.5806 | g_loss: 4.9540
2023-06-03 23:37:32 | Epoch [43/50] | Batch 385/509 | d_loss: 0.6537 | g_loss: 4.5688
2023-06-03 23:37:33 | Epoch [43/50] | Batch 390/509 | d_loss: 0.3563 | g_loss: 5.6057
2023-06-03 23:37:35 | Epoch [43/50] | Batch 395/509 | d_loss: 0.6398 | g_loss: 3.4984
2023-06-03 23:37:37 | Epoch [43/50] | Batch 400/509 | d_loss: 0.3906 | g_loss: 3.4926
2023-06-03 23:37:38 | Epoch [43/50] | Batch 405/509 | d_loss: 0.4855 | g_loss: 3.6175
2023-06-03 23:37:40 | Epoch [43/50] | Batch 410/509 | d_loss: 0.3815 | g_loss: 5.2577
2023-06-03 23:37:42 | Epoch [43/50] | Batch 415/509 | d_loss: 0.4022 | g_loss: 4.7725
2023-06-03 23:37:43 | Epoch [43/50] | Batch 420/509 | d_loss: 0.3605 | g_loss: 5.4790
2023-06-03 23:37:45 | Epoch [43/50] | Batch 425/509 | d_loss: 0.4138 | g_loss: 3.1092
2023-06-03 23:37:46 | Epoch [43/50] | Batch 430/509 | d_loss: 0.4017 | g_loss: 4.2069
2023-06-03 23:37:48 | Epoch [43/50] | Batch 435/509 | d_loss: 0.3757 | g_loss: 4.5530
2023-06-03 23:37:50 | Epoch [43/50] | Batch 440/509 | d_loss: 0.3790 | g_loss: 4.4887
2023-06-03 23:37:51 | Epoch [43/50] | Batch 445/509 | d_loss: 0.3613 | g_loss: 4.3237
2023-06-03 23:37:53 | Epoch [43/50] | Batch 450/509 | d_loss: 0.4201 | g_loss: 3.7186
2023-06-03 23:37:55 | Epoch [43/50] | Batch 455/509 | d_loss: 0.4291 | g_loss: 4.8433
2023-06-03 23:37:56 | Epoch [43/50] | Batch 460/509 | d_loss: 0.5047 | g_loss: 3.4094
2023-06-03 23:37:58 | Epoch [43/50] | Batch 465/509 | d_loss: 0.3673 | g_loss: 5.3957
2023-06-03 23:38:00 | Epoch [43/50] | Batch 470/509 | d_loss: 0.3724 | g_loss: 4.7465
2023-06-03 23:38:01 | Epoch [43/50] | Batch 475/509 | d_loss: 0.4439 | g_loss: 4.9078
2023-06-03 23:38:03 | Epoch [43/50] | Batch 480/509 | d_loss: 0.4207 | g_loss: 3.7760
2023-06-03 23:38:05 | Epoch [43/50] | Batch 485/509 | d_loss: 0.3670 | g_loss: 5.2190
2023-06-03 23:38:06 | Epoch [43/50] | Batch 490/509 | d_loss: 0.4619 | g_loss: 4.0701
2023-06-03 23:38:08 | Epoch [43/50] | Batch 495/509 | d_loss: 0.4929 | g_loss: 2.6763
2023-06-03 23:38:09 | Epoch [43/50] | Batch 500/509 | d_loss: 0.3894 | g_loss: 5.2893
2023-06-03 23:38:11 | Epoch [43/50] | Batch 505/509 | d_loss: 0.3641 | g_loss: 4.7784

2023-06-03 23:38:14 | Epoch [44/50] | Batch 0/509 | d_loss: 0.3800 | g_loss: 3.9308
2023-06-03 23:38:15 | Epoch [44/50] | Batch 5/509 | d_loss: 0.3606 | g_loss: 4.7340
2023-06-03 23:38:17 | Epoch [44/50] | Batch 10/509 | d_loss: 0.4212 | g_loss: 2.9516
2023-06-03 23:38:19 | Epoch [44/50] | Batch 15/509 | d_loss: 0.4864 | g_loss: 3.6945
2023-06-03 23:38:20 | Epoch [44/50] | Batch 20/509 | d_loss: 0.5098 | g_loss: 3.0842
2023-06-03 23:38:22 | Epoch [44/50] | Batch 25/509 | d_loss: 0.3844 | g_loss: 4.6358
2023-06-03 23:38:23 | Epoch [44/50] | Batch 30/509 | d_loss: 0.3774 | g_loss: 4.1057
2023-06-03 23:38:25 | Epoch [44/50] | Batch 35/509 | d_loss: 0.6378 | g_loss: 1.7368
2023-06-03 23:38:27 | Epoch [44/50] | Batch 40/509 | d_loss: 0.6606 | g_loss: 1.7429
2023-06-03 23:38:28 | Epoch [44/50] | Batch 45/509 | d_loss: 0.3794 | g_loss: 4.2060
2023-06-03 23:38:30 | Epoch [44/50] | Batch 50/509 | d_loss: 0.6331 | g_loss: 3.6833
2023-06-03 23:38:32 | Epoch [44/50] | Batch 55/509 | d_loss: 0.4053 | g_loss: 5.4179
2023-06-03 23:38:33 | Epoch [44/50] | Batch 60/509 | d_loss: 0.4276 | g_loss: 4.4592
2023-06-03 23:38:35 | Epoch [44/50] | Batch 65/509 | d_loss: 0.3645 | g_loss: 6.8867
2023-06-03 23:38:37 | Epoch [44/50] | Batch 70/509 | d_loss: 0.3768 | g_loss: 4.5728
2023-06-03 23:38:38 | Epoch [44/50] | Batch 75/509 | d_loss: 0.4480 | g_loss: 3.2781
2023-06-03 23:38:40 | Epoch [44/50] | Batch 80/509 | d_loss: 0.3881 | g_loss: 3.6015
2023-06-03 23:38:41 | Epoch [44/50] | Batch 85/509 | d_loss: 0.4183 | g_loss: 4.8249
2023-06-03 23:38:43 | Epoch [44/50] | Batch 90/509 | d_loss: 0.4167 | g_loss: 4.2337
2023-06-03 23:38:45 | Epoch [44/50] | Batch 95/509 | d_loss: 0.5236 | g_loss: 5.0791
2023-06-03 23:38:46 | Epoch [44/50] | Batch 100/509 | d_loss: 0.4525 | g_loss: 4.7424
2023-06-03 23:38:48 | Epoch [44/50] | Batch 105/509 | d_loss: 0.8069 | g_loss: 4.2091
2023-06-03 23:38:50 | Epoch [44/50] | Batch 110/509 | d_loss: 0.4277 | g_loss: 3.2428
2023-06-03 23:38:51 | Epoch [44/50] | Batch 115/509 | d_loss: 0.5348 | g_loss: 3.4467
2023-06-03 23:38:53 | Epoch [44/50] | Batch 120/509 | d_loss: 0.5279 | g_loss: 3.0104
2023-06-03 23:38:55 | Epoch [44/50] | Batch 125/509 | d_loss: 0.4106 | g_loss: 4.0788
2023-06-03 23:38:56 | Epoch [44/50] | Batch 130/509 | d_loss: 0.4143 | g_loss: 4.1328
2023-06-03 23:38:58 | Epoch [44/50] | Batch 135/509 | d_loss: 0.4136 | g_loss: 3.1265
2023-06-03 23:39:00 | Epoch [44/50] | Batch 140/509 | d_loss: 0.3964 | g_loss: 4.4033
2023-06-03 23:39:01 | Epoch [44/50] | Batch 145/509 | d_loss: 0.3871 | g_loss: 4.6370
2023-06-03 23:39:03 | Epoch [44/50] | Batch 150/509 | d_loss: 0.7949 | g_loss: 6.4301
2023-06-03 23:39:04 | Epoch [44/50] | Batch 155/509 | d_loss: 0.4635 | g_loss: 4.8561
2023-06-03 23:39:06 | Epoch [44/50] | Batch 160/509 | d_loss: 0.5228 | g_loss: 3.8102
2023-06-03 23:39:08 | Epoch [44/50] | Batch 165/509 | d_loss: 0.4092 | g_loss: 3.9508
2023-06-03 23:39:09 | Epoch [44/50] | Batch 170/509 | d_loss: 0.5462 | g_loss: 2.6922
2023-06-03 23:39:11 | Epoch [44/50] | Batch 175/509 | d_loss: 0.3754 | g_loss: 6.2251
2023-06-03 23:39:13 | Epoch [44/50] | Batch 180/509 | d_loss: 0.4341 | g_loss: 4.3371
2023-06-03 23:39:14 | Epoch [44/50] | Batch 185/509 | d_loss: 0.4100 | g_loss: 5.6984
2023-06-03 23:39:16 | Epoch [44/50] | Batch 190/509 | d_loss: 0.4328 | g_loss: 3.3117
2023-06-03 23:39:18 | Epoch [44/50] | Batch 195/509 | d_loss: 0.4065 | g_loss: 3.2372
2023-06-03 23:39:19 | Epoch [44/50] | Batch 200/509 | d_loss: 0.3876 | g_loss: 4.1070
2023-06-03 23:39:21 | Epoch [44/50] | Batch 205/509 | d_loss: 0.3933 | g_loss: 4.7083
2023-06-03 23:39:22 | Epoch [44/50] | Batch 210/509 | d_loss: 0.3946 | g_loss: 4.5236
2023-06-03 23:39:24 | Epoch [44/50] | Batch 215/509 | d_loss: 0.3839 | g_loss: 4.7259
2023-06-03 23:39:26 | Epoch [44/50] | Batch 220/509 | d_loss: 0.3706 | g_loss: 4.0158
2023-06-03 23:39:27 | Epoch [44/50] | Batch 225/509 | d_loss: 0.3920 | g_loss: 4.2589
2023-06-03 23:39:29 | Epoch [44/50] | Batch 230/509 | d_loss: 0.3753 | g_loss: 3.7588
2023-06-03 23:39:31 | Epoch [44/50] | Batch 235/509 | d_loss: 0.3610 | g_loss: 6.1372
2023-06-03 23:39:32 | Epoch [44/50] | Batch 240/509 | d_loss: 0.3812 | g_loss: 3.4931
2023-06-03 23:39:34 | Epoch [44/50] | Batch 245/509 | d_loss: 0.3735 | g_loss: 3.5487
2023-06-03 23:39:36 | Epoch [44/50] | Batch 250/509 | d_loss: 0.3517 | g_loss: 5.1228
2023-06-03 23:39:37 | Epoch [44/50] | Batch 255/509 | d_loss: 0.3595 | g_loss: 3.8642
2023-06-03 23:39:39 | Epoch [44/50] | Batch 260/509 | d_loss: 0.3549 | g_loss: 4.3959
2023-06-03 23:39:40 | Epoch [44/50] | Batch 265/509 | d_loss: 0.4111 | g_loss: 4.6875
2023-06-03 23:39:42 | Epoch [44/50] | Batch 270/509 | d_loss: 0.3885 | g_loss: 4.4955
2023-06-03 23:39:44 | Epoch [44/50] | Batch 275/509 | d_loss: 0.4156 | g_loss: 5.1136
2023-06-03 23:39:45 | Epoch [44/50] | Batch 280/509 | d_loss: 0.3708 | g_loss: 3.9654
2023-06-03 23:39:47 | Epoch [44/50] | Batch 285/509 | d_loss: 0.4668 | g_loss: 2.9367
2023-06-03 23:39:49 | Epoch [44/50] | Batch 290/509 | d_loss: 0.5247 | g_loss: 4.9697
2023-06-03 23:39:50 | Epoch [44/50] | Batch 295/509 | d_loss: 0.3611 | g_loss: 5.6501
2023-06-03 23:39:52 | Epoch [44/50] | Batch 300/509 | d_loss: 0.3543 | g_loss: 5.6243
2023-06-03 23:39:54 | Epoch [44/50] | Batch 305/509 | d_loss: 0.3782 | g_loss: 5.4233
2023-06-03 23:39:55 | Epoch [44/50] | Batch 310/509 | d_loss: 0.4115 | g_loss: 3.5863
2023-06-03 23:39:57 | Epoch [44/50] | Batch 315/509 | d_loss: 0.4059 | g_loss: 5.5561
2023-06-03 23:39:58 | Epoch [44/50] | Batch 320/509 | d_loss: 0.3705 | g_loss: 5.6920
2023-06-03 23:40:00 | Epoch [44/50] | Batch 325/509 | d_loss: 0.4060 | g_loss: 6.4341
2023-06-03 23:40:02 | Epoch [44/50] | Batch 330/509 | d_loss: 0.3881 | g_loss: 4.2277
2023-06-03 23:40:03 | Epoch [44/50] | Batch 335/509 | d_loss: 0.4685 | g_loss: 2.8343
2023-06-03 23:40:05 | Epoch [44/50] | Batch 340/509 | d_loss: 0.3775 | g_loss: 4.7693
2023-06-03 23:40:07 | Epoch [44/50] | Batch 345/509 | d_loss: 0.3480 | g_loss: 5.0080
2023-06-03 23:40:08 | Epoch [44/50] | Batch 350/509 | d_loss: 0.4007 | g_loss: 5.3393
2023-06-03 23:40:10 | Epoch [44/50] | Batch 355/509 | d_loss: 0.4889 | g_loss: 3.7115
2023-06-03 23:40:12 | Epoch [44/50] | Batch 360/509 | d_loss: 0.4010 | g_loss: 3.5679
2023-06-03 23:40:13 | Epoch [44/50] | Batch 365/509 | d_loss: 0.4322 | g_loss: 3.4655
2023-06-03 23:40:15 | Epoch [44/50] | Batch 370/509 | d_loss: 0.4685 | g_loss: 4.1150
2023-06-03 23:40:16 | Epoch [44/50] | Batch 375/509 | d_loss: 0.3524 | g_loss: 7.0810
2023-06-03 23:40:18 | Epoch [44/50] | Batch 380/509 | d_loss: 0.3986 | g_loss: 3.1834
2023-06-03 23:40:20 | Epoch [44/50] | Batch 385/509 | d_loss: 0.4447 | g_loss: 4.0540
2023-06-03 23:40:21 | Epoch [44/50] | Batch 390/509 | d_loss: 0.4019 | g_loss: 3.3155
2023-06-03 23:40:23 | Epoch [44/50] | Batch 395/509 | d_loss: 0.3531 | g_loss: 6.1663
2023-06-03 23:40:25 | Epoch [44/50] | Batch 400/509 | d_loss: 0.5170 | g_loss: 2.8497
2023-06-03 23:40:26 | Epoch [44/50] | Batch 405/509 | d_loss: 0.4244 | g_loss: 4.2572
2023-06-03 23:40:28 | Epoch [44/50] | Batch 410/509 | d_loss: 0.3608 | g_loss: 4.5228
2023-06-03 23:40:30 | Epoch [44/50] | Batch 415/509 | d_loss: 0.7420 | g_loss: 5.4555
2023-06-03 23:40:31 | Epoch [44/50] | Batch 420/509 | d_loss: 0.3730 | g_loss: 5.6775
2023-06-03 23:40:33 | Epoch [44/50] | Batch 425/509 | d_loss: 0.3842 | g_loss: 4.5770
2023-06-03 23:40:35 | Epoch [44/50] | Batch 430/509 | d_loss: 0.3967 | g_loss: 3.1926
2023-06-03 23:40:36 | Epoch [44/50] | Batch 435/509 | d_loss: 0.3600 | g_loss: 5.5696
2023-06-03 23:40:38 | Epoch [44/50] | Batch 440/509 | d_loss: 0.3610 | g_loss: 3.9761
2023-06-03 23:40:39 | Epoch [44/50] | Batch 445/509 | d_loss: 0.3942 | g_loss: 4.3133
2023-06-03 23:40:41 | Epoch [44/50] | Batch 450/509 | d_loss: 0.4082 | g_loss: 4.8338
2023-06-03 23:40:43 | Epoch [44/50] | Batch 455/509 | d_loss: 0.4218 | g_loss: 4.1466
2023-06-03 23:40:44 | Epoch [44/50] | Batch 460/509 | d_loss: 0.3935 | g_loss: 3.2204
2023-06-03 23:40:46 | Epoch [44/50] | Batch 465/509 | d_loss: 0.4271 | g_loss: 4.9784
2023-06-03 23:40:48 | Epoch [44/50] | Batch 470/509 | d_loss: 0.6187 | g_loss: 5.3140
2023-06-03 23:40:49 | Epoch [44/50] | Batch 475/509 | d_loss: 0.3521 | g_loss: 4.9989
2023-06-03 23:40:51 | Epoch [44/50] | Batch 480/509 | d_loss: 0.3797 | g_loss: 4.8812
2023-06-03 23:40:53 | Epoch [44/50] | Batch 485/509 | d_loss: 0.7484 | g_loss: 4.7937
2023-06-03 23:40:54 | Epoch [44/50] | Batch 490/509 | d_loss: 0.3476 | g_loss: 6.5356
2023-06-03 23:40:56 | Epoch [44/50] | Batch 495/509 | d_loss: 0.3816 | g_loss: 5.7061
2023-06-03 23:40:57 | Epoch [44/50] | Batch 500/509 | d_loss: 0.5278 | g_loss: 5.6830
2023-06-03 23:40:59 | Epoch [44/50] | Batch 505/509 | d_loss: 0.3879 | g_loss: 5.5106

2023-06-03 23:41:02 | Epoch [45/50] | Batch 0/509 | d_loss: 0.3924 | g_loss: 3.9472
2023-06-03 23:41:03 | Epoch [45/50] | Batch 5/509 | d_loss: 0.4042 | g_loss: 3.4929
2023-06-03 23:41:05 | Epoch [45/50] | Batch 10/509 | d_loss: 0.4367 | g_loss: 2.3860
2023-06-03 23:41:06 | Epoch [45/50] | Batch 15/509 | d_loss: 0.3932 | g_loss: 3.9386
2023-06-03 23:41:08 | Epoch [45/50] | Batch 20/509 | d_loss: 0.3853 | g_loss: 5.2556
2023-06-03 23:41:10 | Epoch [45/50] | Batch 25/509 | d_loss: 0.3655 | g_loss: 4.7828
2023-06-03 23:41:11 | Epoch [45/50] | Batch 30/509 | d_loss: 0.3696 | g_loss: 7.4464
2023-06-03 23:41:13 | Epoch [45/50] | Batch 35/509 | d_loss: 0.4068 | g_loss: 4.1985
2023-06-03 23:41:15 | Epoch [45/50] | Batch 40/509 | d_loss: 0.9432 | g_loss: 2.7473
2023-06-03 23:41:16 | Epoch [45/50] | Batch 45/509 | d_loss: 0.6282 | g_loss: 3.5020
2023-06-03 23:41:18 | Epoch [45/50] | Batch 50/509 | d_loss: 0.4993 | g_loss: 3.5314
2023-06-03 23:41:20 | Epoch [45/50] | Batch 55/509 | d_loss: 0.4245 | g_loss: 4.5306
2023-06-03 23:41:21 | Epoch [45/50] | Batch 60/509 | d_loss: 0.4779 | g_loss: 4.2764
2023-06-03 23:41:23 | Epoch [45/50] | Batch 65/509 | d_loss: 0.5364 | g_loss: 3.6017
2023-06-03 23:41:24 | Epoch [45/50] | Batch 70/509 | d_loss: 0.4392 | g_loss: 3.1852
2023-06-03 23:41:26 | Epoch [45/50] | Batch 75/509 | d_loss: 0.4635 | g_loss: 3.6915
2023-06-03 23:41:28 | Epoch [45/50] | Batch 80/509 | d_loss: 0.4124 | g_loss: 3.9737
2023-06-03 23:41:29 | Epoch [45/50] | Batch 85/509 | d_loss: 0.5948 | g_loss: 4.4978
2023-06-03 23:41:31 | Epoch [45/50] | Batch 90/509 | d_loss: 0.3773 | g_loss: 5.6285
2023-06-03 23:41:33 | Epoch [45/50] | Batch 95/509 | d_loss: 0.4218 | g_loss: 4.0833
2023-06-03 23:41:34 | Epoch [45/50] | Batch 100/509 | d_loss: 0.3682 | g_loss: 4.1066
2023-06-03 23:41:36 | Epoch [45/50] | Batch 105/509 | d_loss: 0.3808 | g_loss: 4.2276
2023-06-03 23:41:38 | Epoch [45/50] | Batch 110/509 | d_loss: 0.4250 | g_loss: 3.9545
2023-06-03 23:41:39 | Epoch [45/50] | Batch 115/509 | d_loss: 0.3491 | g_loss: 7.5420
2023-06-03 23:41:41 | Epoch [45/50] | Batch 120/509 | d_loss: 0.3637 | g_loss: 4.6605
2023-06-03 23:41:42 | Epoch [45/50] | Batch 125/509 | d_loss: 0.3963 | g_loss: 5.2424
2023-06-03 23:41:44 | Epoch [45/50] | Batch 130/509 | d_loss: 0.4586 | g_loss: 4.0599
2023-06-03 23:41:46 | Epoch [45/50] | Batch 135/509 | d_loss: 0.8846 | g_loss: 2.6884
2023-06-03 23:41:47 | Epoch [45/50] | Batch 140/509 | d_loss: 0.3685 | g_loss: 4.7449
2023-06-03 23:41:49 | Epoch [45/50] | Batch 145/509 | d_loss: 0.7270 | g_loss: 4.8005
2023-06-03 23:41:51 | Epoch [45/50] | Batch 150/509 | d_loss: 0.3921 | g_loss: 4.7801
2023-06-03 23:41:52 | Epoch [45/50] | Batch 155/509 | d_loss: 0.4195 | g_loss: 4.0300
2023-06-03 23:41:54 | Epoch [45/50] | Batch 160/509 | d_loss: 0.4483 | g_loss: 3.0965
2023-06-03 23:41:56 | Epoch [45/50] | Batch 165/509 | d_loss: 0.4225 | g_loss: 4.0835
2023-06-03 23:41:57 | Epoch [45/50] | Batch 170/509 | d_loss: 0.3649 | g_loss: 5.6139
2023-06-03 23:41:59 | Epoch [45/50] | Batch 175/509 | d_loss: 0.3972 | g_loss: 3.7305
2023-06-03 23:42:00 | Epoch [45/50] | Batch 180/509 | d_loss: 0.3836 | g_loss: 3.9520
2023-06-03 23:42:02 | Epoch [45/50] | Batch 185/509 | d_loss: 0.4042 | g_loss: 5.0016
2023-06-03 23:42:04 | Epoch [45/50] | Batch 190/509 | d_loss: 0.6290 | g_loss: 5.2915
2023-06-03 23:42:05 | Epoch [45/50] | Batch 195/509 | d_loss: 0.5117 | g_loss: 1.7238
2023-06-03 23:42:07 | Epoch [45/50] | Batch 200/509 | d_loss: 0.4593 | g_loss: 4.2864
2023-06-03 23:42:09 | Epoch [45/50] | Batch 205/509 | d_loss: 0.3641 | g_loss: 4.7860
2023-06-03 23:42:10 | Epoch [45/50] | Batch 210/509 | d_loss: 0.4021 | g_loss: 3.4924
2023-06-03 23:42:12 | Epoch [45/50] | Batch 215/509 | d_loss: 0.3730 | g_loss: 5.1453
2023-06-03 23:42:14 | Epoch [45/50] | Batch 220/509 | d_loss: 0.3703 | g_loss: 5.8050
2023-06-03 23:42:15 | Epoch [45/50] | Batch 225/509 | d_loss: 0.3992 | g_loss: 4.7528
2023-06-03 23:42:17 | Epoch [45/50] | Batch 230/509 | d_loss: 0.4063 | g_loss: 4.7278
2023-06-03 23:42:18 | Epoch [45/50] | Batch 235/509 | d_loss: 0.3860 | g_loss: 4.2871
2023-06-03 23:42:20 | Epoch [45/50] | Batch 240/509 | d_loss: 0.3607 | g_loss: 5.7350
2023-06-03 23:42:22 | Epoch [45/50] | Batch 245/509 | d_loss: 0.3751 | g_loss: 3.5821
2023-06-03 23:42:23 | Epoch [45/50] | Batch 250/509 | d_loss: 0.3606 | g_loss: 4.4087
2023-06-03 23:42:25 | Epoch [45/50] | Batch 255/509 | d_loss: 0.3662 | g_loss: 3.5856
2023-06-03 23:42:27 | Epoch [45/50] | Batch 260/509 | d_loss: 0.3935 | g_loss: 5.5201
2023-06-03 23:42:28 | Epoch [45/50] | Batch 265/509 | d_loss: 0.4430 | g_loss: 3.3930
2023-06-03 23:42:30 | Epoch [45/50] | Batch 270/509 | d_loss: 0.3976 | g_loss: 4.1606
2023-06-03 23:42:32 | Epoch [45/50] | Batch 275/509 | d_loss: 0.3683 | g_loss: 4.9850
2023-06-03 23:42:33 | Epoch [45/50] | Batch 280/509 | d_loss: 0.3694 | g_loss: 4.2508
2023-06-03 23:42:35 | Epoch [45/50] | Batch 285/509 | d_loss: 0.4079 | g_loss: 6.3090
2023-06-03 23:42:36 | Epoch [45/50] | Batch 290/509 | d_loss: 0.3767 | g_loss: 3.6623
2023-06-03 23:42:38 | Epoch [45/50] | Batch 295/509 | d_loss: 0.7776 | g_loss: 3.2594
2023-06-03 23:42:40 | Epoch [45/50] | Batch 300/509 | d_loss: 1.7454 | g_loss: 2.4650
2023-06-03 23:42:41 | Epoch [45/50] | Batch 305/509 | d_loss: 0.7411 | g_loss: 2.5819
2023-06-03 23:42:43 | Epoch [45/50] | Batch 310/509 | d_loss: 0.4935 | g_loss: 3.6141
2023-06-03 23:42:45 | Epoch [45/50] | Batch 315/509 | d_loss: 0.4878 | g_loss: 3.1951
2023-06-03 23:42:46 | Epoch [45/50] | Batch 320/509 | d_loss: 0.6229 | g_loss: 1.9628
2023-06-03 23:42:48 | Epoch [45/50] | Batch 325/509 | d_loss: 0.5611 | g_loss: 3.4677
2023-06-03 23:42:50 | Epoch [45/50] | Batch 330/509 | d_loss: 0.3919 | g_loss: 6.6197
2023-06-03 23:42:51 | Epoch [45/50] | Batch 335/509 | d_loss: 0.4380 | g_loss: 4.0225
2023-06-03 23:42:53 | Epoch [45/50] | Batch 340/509 | d_loss: 0.5788 | g_loss: 2.9363
2023-06-03 23:42:54 | Epoch [45/50] | Batch 345/509 | d_loss: 0.3711 | g_loss: 4.5957
2023-06-03 23:42:56 | Epoch [45/50] | Batch 350/509 | d_loss: 0.3914 | g_loss: 4.0737
2023-06-03 23:42:58 | Epoch [45/50] | Batch 355/509 | d_loss: 0.3890 | g_loss: 3.8141
2023-06-03 23:42:59 | Epoch [45/50] | Batch 360/509 | d_loss: 0.3767 | g_loss: 5.3508
2023-06-03 23:43:01 | Epoch [45/50] | Batch 365/509 | d_loss: 0.4028 | g_loss: 3.5590
2023-06-03 23:43:03 | Epoch [45/50] | Batch 370/509 | d_loss: 0.4086 | g_loss: 5.0237
2023-06-03 23:43:04 | Epoch [45/50] | Batch 375/509 | d_loss: 0.4010 | g_loss: 3.3671
2023-06-03 23:43:06 | Epoch [45/50] | Batch 380/509 | d_loss: 0.5020 | g_loss: 4.9268
2023-06-03 23:43:08 | Epoch [45/50] | Batch 385/509 | d_loss: 0.3543 | g_loss: 5.1482
2023-06-03 23:43:09 | Epoch [45/50] | Batch 390/509 | d_loss: 0.3913 | g_loss: 3.5291
2023-06-03 23:43:11 | Epoch [45/50] | Batch 395/509 | d_loss: 0.4109 | g_loss: 5.0073
2023-06-03 23:43:12 | Epoch [45/50] | Batch 400/509 | d_loss: 0.3737 | g_loss: 4.1237
2023-06-03 23:43:14 | Epoch [45/50] | Batch 405/509 | d_loss: 0.6612 | g_loss: 4.6281
2023-06-03 23:43:16 | Epoch [45/50] | Batch 410/509 | d_loss: 0.3735 | g_loss: 7.0819
2023-06-03 23:43:17 | Epoch [45/50] | Batch 415/509 | d_loss: 0.3871 | g_loss: 3.9789
2023-06-03 23:43:19 | Epoch [45/50] | Batch 420/509 | d_loss: 0.3982 | g_loss: 4.9398
2023-06-03 23:43:21 | Epoch [45/50] | Batch 425/509 | d_loss: 0.3891 | g_loss: 5.5791
2023-06-03 23:43:22 | Epoch [45/50] | Batch 430/509 | d_loss: 0.4010 | g_loss: 3.1885
2023-06-03 23:43:24 | Epoch [45/50] | Batch 435/509 | d_loss: 0.3710 | g_loss: 4.9223
2023-06-03 23:43:26 | Epoch [45/50] | Batch 440/509 | d_loss: 0.3655 | g_loss: 5.6919
2023-06-03 23:43:27 | Epoch [45/50] | Batch 445/509 | d_loss: 0.3961 | g_loss: 6.1610
2023-06-03 23:43:29 | Epoch [45/50] | Batch 450/509 | d_loss: 0.4102 | g_loss: 3.2683
2023-06-03 23:43:30 | Epoch [45/50] | Batch 455/509 | d_loss: 0.3915 | g_loss: 5.0752
2023-06-03 23:43:32 | Epoch [45/50] | Batch 460/509 | d_loss: 0.4707 | g_loss: 3.5634
2023-06-03 23:43:34 | Epoch [45/50] | Batch 465/509 | d_loss: 0.3581 | g_loss: 6.1399
2023-06-03 23:43:35 | Epoch [45/50] | Batch 470/509 | d_loss: 0.4471 | g_loss: 4.1000
2023-06-03 23:43:37 | Epoch [45/50] | Batch 475/509 | d_loss: 0.4928 | g_loss: 7.9037
2023-06-03 23:43:39 | Epoch [45/50] | Batch 480/509 | d_loss: 0.3698 | g_loss: 4.2011
2023-06-03 23:43:40 | Epoch [45/50] | Batch 485/509 | d_loss: 0.4032 | g_loss: 3.5539
2023-06-03 23:43:42 | Epoch [45/50] | Batch 490/509 | d_loss: 0.3777 | g_loss: 3.6414
2023-06-03 23:43:44 | Epoch [45/50] | Batch 495/509 | d_loss: 0.4287 | g_loss: 4.1323
2023-06-03 23:43:45 | Epoch [45/50] | Batch 500/509 | d_loss: 0.3632 | g_loss: 3.6894
2023-06-03 23:43:47 | Epoch [45/50] | Batch 505/509 | d_loss: 0.4503 | g_loss: 4.6016

2023-06-03 23:43:49 | Epoch [46/50] | Batch 0/509 | d_loss: 0.3929 | g_loss: 4.7797
2023-06-03 23:43:51 | Epoch [46/50] | Batch 5/509 | d_loss: 0.4029 | g_loss: 4.8060
2023-06-03 23:43:53 | Epoch [46/50] | Batch 10/509 | d_loss: 0.3732 | g_loss: 4.3113
2023-06-03 23:43:54 | Epoch [46/50] | Batch 15/509 | d_loss: 0.3768 | g_loss: 3.0829
2023-06-03 23:43:56 | Epoch [46/50] | Batch 20/509 | d_loss: 0.3853 | g_loss: 3.7973
2023-06-03 23:43:57 | Epoch [46/50] | Batch 25/509 | d_loss: 0.4819 | g_loss: 2.3441
2023-06-03 23:43:59 | Epoch [46/50] | Batch 30/509 | d_loss: 0.3748 | g_loss: 3.5694
2023-06-03 23:44:01 | Epoch [46/50] | Batch 35/509 | d_loss: 0.4116 | g_loss: 4.6271
2023-06-03 23:44:02 | Epoch [46/50] | Batch 40/509 | d_loss: 0.3495 | g_loss: 7.0842
2023-06-03 23:44:04 | Epoch [46/50] | Batch 45/509 | d_loss: 0.5455 | g_loss: 5.5441
2023-06-03 23:44:06 | Epoch [46/50] | Batch 50/509 | d_loss: 0.4204 | g_loss: 5.0560
2023-06-03 23:44:07 | Epoch [46/50] | Batch 55/509 | d_loss: 0.3646 | g_loss: 4.5825
2023-06-03 23:44:09 | Epoch [46/50] | Batch 60/509 | d_loss: 0.3673 | g_loss: 3.7143
2023-06-03 23:44:11 | Epoch [46/50] | Batch 65/509 | d_loss: 0.3734 | g_loss: 3.2264
2023-06-03 23:44:12 | Epoch [46/50] | Batch 70/509 | d_loss: 0.3801 | g_loss: 4.5154
2023-06-03 23:44:14 | Epoch [46/50] | Batch 75/509 | d_loss: 0.3991 | g_loss: 3.8581
2023-06-03 23:44:15 | Epoch [46/50] | Batch 80/509 | d_loss: 0.5314 | g_loss: 5.6297
2023-06-03 23:44:17 | Epoch [46/50] | Batch 85/509 | d_loss: 2.0451 | g_loss: 6.7405
2023-06-03 23:44:19 | Epoch [46/50] | Batch 90/509 | d_loss: 0.4676 | g_loss: 3.0841
2023-06-03 23:44:20 | Epoch [46/50] | Batch 95/509 | d_loss: 0.4714 | g_loss: 3.8567
2023-06-03 23:44:22 | Epoch [46/50] | Batch 100/509 | d_loss: 0.4260 | g_loss: 3.6782
2023-06-03 23:44:24 | Epoch [46/50] | Batch 105/509 | d_loss: 0.4563 | g_loss: 4.2069
2023-06-03 23:44:25 | Epoch [46/50] | Batch 110/509 | d_loss: 0.5377 | g_loss: 2.6026
2023-06-03 23:44:27 | Epoch [46/50] | Batch 115/509 | d_loss: 0.5952 | g_loss: 2.1347
2023-06-03 23:44:29 | Epoch [46/50] | Batch 120/509 | d_loss: 0.4431 | g_loss: 2.6850
2023-06-03 23:44:30 | Epoch [46/50] | Batch 125/509 | d_loss: 0.4204 | g_loss: 3.7679
2023-06-03 23:44:32 | Epoch [46/50] | Batch 130/509 | d_loss: 0.4601 | g_loss: 2.3487
2023-06-03 23:44:33 | Epoch [46/50] | Batch 135/509 | d_loss: 0.3797 | g_loss: 3.7222
2023-06-03 23:44:35 | Epoch [46/50] | Batch 140/509 | d_loss: 0.4225 | g_loss: 3.9312
2023-06-03 23:44:37 | Epoch [46/50] | Batch 145/509 | d_loss: 0.3644 | g_loss: 4.1333
2023-06-03 23:44:38 | Epoch [46/50] | Batch 150/509 | d_loss: 0.7187 | g_loss: 6.2368
2023-06-03 23:44:40 | Epoch [46/50] | Batch 155/509 | d_loss: 0.3830 | g_loss: 4.1795
2023-06-03 23:44:42 | Epoch [46/50] | Batch 160/509 | d_loss: 0.3935 | g_loss: 4.6902
2023-06-03 23:44:43 | Epoch [46/50] | Batch 165/509 | d_loss: 0.3792 | g_loss: 3.9492
2023-06-03 23:44:45 | Epoch [46/50] | Batch 170/509 | d_loss: 0.3902 | g_loss: 4.6615
2023-06-03 23:44:47 | Epoch [46/50] | Batch 175/509 | d_loss: 0.3917 | g_loss: 3.9597
2023-06-03 23:44:48 | Epoch [46/50] | Batch 180/509 | d_loss: 0.3779 | g_loss: 4.8874
2023-06-03 23:44:50 | Epoch [46/50] | Batch 185/509 | d_loss: 0.4757 | g_loss: 3.3110
2023-06-03 23:44:52 | Epoch [46/50] | Batch 190/509 | d_loss: 0.4796 | g_loss: 4.2231
2023-06-03 23:44:53 | Epoch [46/50] | Batch 195/509 | d_loss: 0.3660 | g_loss: 3.7548
2023-06-03 23:44:55 | Epoch [46/50] | Batch 200/509 | d_loss: 0.3782 | g_loss: 3.8121
2023-06-03 23:44:56 | Epoch [46/50] | Batch 205/509 | d_loss: 0.4597 | g_loss: 2.7619
2023-06-03 23:44:58 | Epoch [46/50] | Batch 210/509 | d_loss: 0.4185 | g_loss: 4.0768
2023-06-03 23:45:00 | Epoch [46/50] | Batch 215/509 | d_loss: 0.3729 | g_loss: 2.7106
2023-06-03 23:45:01 | Epoch [46/50] | Batch 220/509 | d_loss: 0.3892 | g_loss: 4.6524
2023-06-03 23:45:03 | Epoch [46/50] | Batch 225/509 | d_loss: 0.3554 | g_loss: 4.8177
2023-06-03 23:45:05 | Epoch [46/50] | Batch 230/509 | d_loss: 0.6188 | g_loss: 3.8504
2023-06-03 23:45:06 | Epoch [46/50] | Batch 235/509 | d_loss: 0.4105 | g_loss: 3.4271
2023-06-03 23:45:08 | Epoch [46/50] | Batch 240/509 | d_loss: 0.3710 | g_loss: 4.7717
2023-06-03 23:45:10 | Epoch [46/50] | Batch 245/509 | d_loss: 0.3828 | g_loss: 3.9697
2023-06-03 23:45:11 | Epoch [46/50] | Batch 250/509 | d_loss: 0.3815 | g_loss: 5.5191
2023-06-03 23:45:13 | Epoch [46/50] | Batch 255/509 | d_loss: 0.6710 | g_loss: 1.8458
2023-06-03 23:45:14 | Epoch [46/50] | Batch 260/509 | d_loss: 1.4451 | g_loss: 0.9653
2023-06-03 23:45:16 | Epoch [46/50] | Batch 265/509 | d_loss: 0.6206 | g_loss: 2.1011
2023-06-03 23:45:18 | Epoch [46/50] | Batch 270/509 | d_loss: 0.6525 | g_loss: 2.8747
2023-06-03 23:45:19 | Epoch [46/50] | Batch 275/509 | d_loss: 0.4746 | g_loss: 2.3466
2023-06-03 23:45:21 | Epoch [46/50] | Batch 280/509 | d_loss: 0.4428 | g_loss: 3.6247
2023-06-03 23:45:23 | Epoch [46/50] | Batch 285/509 | d_loss: 0.4727 | g_loss: 3.3978
2023-06-03 23:45:24 | Epoch [46/50] | Batch 290/509 | d_loss: 0.4497 | g_loss: 3.6938
2023-06-03 23:45:26 | Epoch [46/50] | Batch 295/509 | d_loss: 0.4419 | g_loss: 3.8277
2023-06-03 23:45:28 | Epoch [46/50] | Batch 300/509 | d_loss: 0.4454 | g_loss: 2.8492
2023-06-03 23:45:29 | Epoch [46/50] | Batch 305/509 | d_loss: 0.4167 | g_loss: 3.6652
2023-06-03 23:45:31 | Epoch [46/50] | Batch 310/509 | d_loss: 0.5163 | g_loss: 2.0560
2023-06-03 23:45:33 | Epoch [46/50] | Batch 315/509 | d_loss: 0.4937 | g_loss: 3.7720
2023-06-03 23:45:34 | Epoch [46/50] | Batch 320/509 | d_loss: 0.4447 | g_loss: 4.2834
2023-06-03 23:45:36 | Epoch [46/50] | Batch 325/509 | d_loss: 0.5296 | g_loss: 2.1194
2023-06-03 23:45:37 | Epoch [46/50] | Batch 330/509 | d_loss: 0.3975 | g_loss: 3.9267
2023-06-03 23:45:39 | Epoch [46/50] | Batch 335/509 | d_loss: 0.4129 | g_loss: 3.8412
2023-06-03 23:45:41 | Epoch [46/50] | Batch 340/509 | d_loss: 0.3800 | g_loss: 4.7497
2023-06-03 23:45:42 | Epoch [46/50] | Batch 345/509 | d_loss: 0.4014 | g_loss: 3.1718
2023-06-03 23:45:44 | Epoch [46/50] | Batch 350/509 | d_loss: 0.5146 | g_loss: 3.6760
2023-06-03 23:45:46 | Epoch [46/50] | Batch 355/509 | d_loss: 0.4851 | g_loss: 4.5086
2023-06-03 23:45:47 | Epoch [46/50] | Batch 360/509 | d_loss: 0.3539 | g_loss: 4.4691
2023-06-03 23:45:49 | Epoch [46/50] | Batch 365/509 | d_loss: 0.3706 | g_loss: 4.8864
2023-06-03 23:45:51 | Epoch [46/50] | Batch 370/509 | d_loss: 0.4264 | g_loss: 3.7278
2023-06-03 23:45:52 | Epoch [46/50] | Batch 375/509 | d_loss: 0.5498 | g_loss: 1.8395
2023-06-03 23:45:54 | Epoch [46/50] | Batch 380/509 | d_loss: 0.4326 | g_loss: 4.3522
2023-06-03 23:45:55 | Epoch [46/50] | Batch 385/509 | d_loss: 0.5523 | g_loss: 4.2901
2023-06-03 23:45:57 | Epoch [46/50] | Batch 390/509 | d_loss: 0.3959 | g_loss: 3.3045
2023-06-03 23:45:59 | Epoch [46/50] | Batch 395/509 | d_loss: 0.3771 | g_loss: 4.3171
2023-06-03 23:46:00 | Epoch [46/50] | Batch 400/509 | d_loss: 0.4182 | g_loss: 4.6953
2023-06-03 23:46:02 | Epoch [46/50] | Batch 405/509 | d_loss: 0.3609 | g_loss: 4.8437
2023-06-03 23:46:04 | Epoch [46/50] | Batch 410/509 | d_loss: 0.3683 | g_loss: 4.7653
2023-06-03 23:46:05 | Epoch [46/50] | Batch 415/509 | d_loss: 0.4019 | g_loss: 3.5823
2023-06-03 23:46:07 | Epoch [46/50] | Batch 420/509 | d_loss: 0.3727 | g_loss: 4.8611
2023-06-03 23:46:09 | Epoch [46/50] | Batch 425/509 | d_loss: 0.3721 | g_loss: 4.8319
2023-06-03 23:46:10 | Epoch [46/50] | Batch 430/509 | d_loss: 0.4615 | g_loss: 4.5316
2023-06-03 23:46:12 | Epoch [46/50] | Batch 435/509 | d_loss: 0.4458 | g_loss: 3.5611
2023-06-03 23:46:13 | Epoch [46/50] | Batch 440/509 | d_loss: 0.3657 | g_loss: 5.6212
2023-06-03 23:46:15 | Epoch [46/50] | Batch 445/509 | d_loss: 0.5198 | g_loss: 4.2449
2023-06-03 23:46:17 | Epoch [46/50] | Batch 450/509 | d_loss: 0.7420 | g_loss: 5.7500
2023-06-03 23:46:18 | Epoch [46/50] | Batch 455/509 | d_loss: 0.3761 | g_loss: 5.1501
2023-06-03 23:46:20 | Epoch [46/50] | Batch 460/509 | d_loss: 0.3666 | g_loss: 4.0536
2023-06-03 23:46:22 | Epoch [46/50] | Batch 465/509 | d_loss: 0.3984 | g_loss: 6.8633
2023-06-03 23:46:23 | Epoch [46/50] | Batch 470/509 | d_loss: 0.4159 | g_loss: 4.5358
2023-06-03 23:46:25 | Epoch [46/50] | Batch 475/509 | d_loss: 0.3922 | g_loss: 4.2105
2023-06-03 23:46:27 | Epoch [46/50] | Batch 480/509 | d_loss: 0.4943 | g_loss: 4.2913
2023-06-03 23:46:28 | Epoch [46/50] | Batch 485/509 | d_loss: 0.4303 | g_loss: 4.9222
2023-06-03 23:46:30 | Epoch [46/50] | Batch 490/509 | d_loss: 0.4502 | g_loss: 2.2379
2023-06-03 23:46:31 | Epoch [46/50] | Batch 495/509 | d_loss: 0.3971 | g_loss: 3.9404
2023-06-03 23:46:33 | Epoch [46/50] | Batch 500/509 | d_loss: 0.4163 | g_loss: 5.9079
2023-06-03 23:46:35 | Epoch [46/50] | Batch 505/509 | d_loss: 0.3951 | g_loss: 3.2697

2023-06-03 23:46:37 | Epoch [47/50] | Batch 0/509 | d_loss: 0.3996 | g_loss: 4.3911
2023-06-03 23:46:39 | Epoch [47/50] | Batch 5/509 | d_loss: 0.4358 | g_loss: 4.0284
2023-06-03 23:46:41 | Epoch [47/50] | Batch 10/509 | d_loss: 0.4216 | g_loss: 4.5763
2023-06-03 23:46:42 | Epoch [47/50] | Batch 15/509 | d_loss: 0.4094 | g_loss: 4.9952
2023-06-03 23:46:44 | Epoch [47/50] | Batch 20/509 | d_loss: 0.3705 | g_loss: 3.7731
2023-06-03 23:46:46 | Epoch [47/50] | Batch 25/509 | d_loss: 0.3814 | g_loss: 4.0777
2023-06-03 23:46:47 | Epoch [47/50] | Batch 30/509 | d_loss: 0.3945 | g_loss: 3.8748
2023-06-03 23:46:49 | Epoch [47/50] | Batch 35/509 | d_loss: 0.3651 | g_loss: 4.6314
2023-06-03 23:46:50 | Epoch [47/50] | Batch 40/509 | d_loss: 0.4114 | g_loss: 3.4291
2023-06-03 23:46:52 | Epoch [47/50] | Batch 45/509 | d_loss: 0.3766 | g_loss: 4.3990
2023-06-03 23:46:54 | Epoch [47/50] | Batch 50/509 | d_loss: 0.4474 | g_loss: 4.3489
2023-06-03 23:46:55 | Epoch [47/50] | Batch 55/509 | d_loss: 0.3526 | g_loss: 5.0065
2023-06-03 23:46:57 | Epoch [47/50] | Batch 60/509 | d_loss: 0.4301 | g_loss: 4.4310
2023-06-03 23:46:59 | Epoch [47/50] | Batch 65/509 | d_loss: 0.3948 | g_loss: 3.6510
2023-06-03 23:47:00 | Epoch [47/50] | Batch 70/509 | d_loss: 0.3675 | g_loss: 7.2143
2023-06-03 23:47:02 | Epoch [47/50] | Batch 75/509 | d_loss: 0.4293 | g_loss: 4.1698
2023-06-03 23:47:04 | Epoch [47/50] | Batch 80/509 | d_loss: 0.5161 | g_loss: 3.3568
2023-06-03 23:47:05 | Epoch [47/50] | Batch 85/509 | d_loss: 1.6695 | g_loss: 8.8657
2023-06-03 23:47:07 | Epoch [47/50] | Batch 90/509 | d_loss: 1.0883 | g_loss: 2.1277
2023-06-03 23:47:08 | Epoch [47/50] | Batch 95/509 | d_loss: 0.5650 | g_loss: 3.7426
2023-06-03 23:47:10 | Epoch [47/50] | Batch 100/509 | d_loss: 0.4944 | g_loss: 3.4744
2023-06-03 23:47:12 | Epoch [47/50] | Batch 105/509 | d_loss: 0.5059 | g_loss: 2.8008
2023-06-03 23:47:13 | Epoch [47/50] | Batch 110/509 | d_loss: 0.5111 | g_loss: 4.3420
2023-06-03 23:47:15 | Epoch [47/50] | Batch 115/509 | d_loss: 0.5912 | g_loss: 2.0080
2023-06-03 23:47:17 | Epoch [47/50] | Batch 120/509 | d_loss: 0.4232 | g_loss: 4.1260
2023-06-03 23:47:18 | Epoch [47/50] | Batch 125/509 | d_loss: 0.4095 | g_loss: 4.9553
2023-06-03 23:47:20 | Epoch [47/50] | Batch 130/509 | d_loss: 0.4293 | g_loss: 2.8235
2023-06-03 23:47:22 | Epoch [47/50] | Batch 135/509 | d_loss: 0.4348 | g_loss: 3.8183
2023-06-03 23:47:23 | Epoch [47/50] | Batch 140/509 | d_loss: 0.4036 | g_loss: 4.3337
2023-06-03 23:47:25 | Epoch [47/50] | Batch 145/509 | d_loss: 0.3841 | g_loss: 4.2244
2023-06-03 23:47:26 | Epoch [47/50] | Batch 150/509 | d_loss: 0.4093 | g_loss: 2.8803
2023-06-03 23:47:28 | Epoch [47/50] | Batch 155/509 | d_loss: 0.3593 | g_loss: 4.0387
2023-06-03 23:47:30 | Epoch [47/50] | Batch 160/509 | d_loss: 0.4389 | g_loss: 3.7539
2023-06-03 23:47:31 | Epoch [47/50] | Batch 165/509 | d_loss: 0.5137 | g_loss: 4.8744
2023-06-03 23:47:33 | Epoch [47/50] | Batch 170/509 | d_loss: 0.4239 | g_loss: 3.4685
2023-06-03 23:47:35 | Epoch [47/50] | Batch 175/509 | d_loss: 0.3996 | g_loss: 2.8884
2023-06-03 23:47:36 | Epoch [47/50] | Batch 180/509 | d_loss: 0.3728 | g_loss: 4.1625
2023-06-03 23:47:38 | Epoch [47/50] | Batch 185/509 | d_loss: 0.3704 | g_loss: 4.2820
2023-06-03 23:47:40 | Epoch [47/50] | Batch 190/509 | d_loss: 0.4246 | g_loss: 3.9210
2023-06-03 23:47:41 | Epoch [47/50] | Batch 195/509 | d_loss: 0.4124 | g_loss: 5.1487
2023-06-03 23:47:43 | Epoch [47/50] | Batch 200/509 | d_loss: 0.9596 | g_loss: 5.7799
2023-06-03 23:47:44 | Epoch [47/50] | Batch 205/509 | d_loss: 0.4194 | g_loss: 3.9654
2023-06-03 23:47:46 | Epoch [47/50] | Batch 210/509 | d_loss: 0.4757 | g_loss: 3.3571
2023-06-03 23:47:48 | Epoch [47/50] | Batch 215/509 | d_loss: 0.4103 | g_loss: 3.6327
2023-06-03 23:47:49 | Epoch [47/50] | Batch 220/509 | d_loss: 0.4218 | g_loss: 3.6028
2023-06-03 23:47:51 | Epoch [47/50] | Batch 225/509 | d_loss: 0.4147 | g_loss: 4.0137
2023-06-03 23:47:53 | Epoch [47/50] | Batch 230/509 | d_loss: 0.4834 | g_loss: 3.6477
2023-06-03 23:47:54 | Epoch [47/50] | Batch 235/509 | d_loss: 0.4182 | g_loss: 3.6795
2023-06-03 23:47:56 | Epoch [47/50] | Batch 240/509 | d_loss: 0.4904 | g_loss: 3.2733
2023-06-03 23:47:58 | Epoch [47/50] | Batch 245/509 | d_loss: 0.6314 | g_loss: 4.6873
2023-06-03 23:47:59 | Epoch [47/50] | Batch 250/509 | d_loss: 0.3694 | g_loss: 4.1354
2023-06-03 23:48:01 | Epoch [47/50] | Batch 255/509 | d_loss: 0.5093 | g_loss: 1.8557
2023-06-03 23:48:03 | Epoch [47/50] | Batch 260/509 | d_loss: 0.4746 | g_loss: 2.5500
2023-06-03 23:48:04 | Epoch [47/50] | Batch 265/509 | d_loss: 0.3839 | g_loss: 4.1441
2023-06-03 23:48:06 | Epoch [47/50] | Batch 270/509 | d_loss: 0.3741 | g_loss: 4.9870
2023-06-03 23:48:07 | Epoch [47/50] | Batch 275/509 | d_loss: 0.4192 | g_loss: 3.6964
2023-06-03 23:48:09 | Epoch [47/50] | Batch 280/509 | d_loss: 0.4185 | g_loss: 4.5743
2023-06-03 23:48:11 | Epoch [47/50] | Batch 285/509 | d_loss: 0.5424 | g_loss: 4.1444
2023-06-03 23:48:12 | Epoch [47/50] | Batch 290/509 | d_loss: 0.4517 | g_loss: 4.8425
2023-06-03 23:48:14 | Epoch [47/50] | Batch 295/509 | d_loss: 0.4953 | g_loss: 4.7160
2023-06-03 23:48:16 | Epoch [47/50] | Batch 300/509 | d_loss: 0.3821 | g_loss: 3.9230
2023-06-03 23:48:17 | Epoch [47/50] | Batch 305/509 | d_loss: 0.3615 | g_loss: 5.1104
2023-06-03 23:48:19 | Epoch [47/50] | Batch 310/509 | d_loss: 0.4321 | g_loss: 4.2444
2023-06-03 23:48:21 | Epoch [47/50] | Batch 315/509 | d_loss: 0.4490 | g_loss: 4.1620
2023-06-03 23:48:22 | Epoch [47/50] | Batch 320/509 | d_loss: 0.4073 | g_loss: 3.7224
2023-06-03 23:48:24 | Epoch [47/50] | Batch 325/509 | d_loss: 0.3707 | g_loss: 3.9684
2023-06-03 23:48:25 | Epoch [47/50] | Batch 330/509 | d_loss: 0.4930 | g_loss: 3.2689
2023-06-03 23:48:27 | Epoch [47/50] | Batch 335/509 | d_loss: 0.4205 | g_loss: 4.1080
2023-06-03 23:48:29 | Epoch [47/50] | Batch 340/509 | d_loss: 0.3676 | g_loss: 5.6984
2023-06-03 23:48:30 | Epoch [47/50] | Batch 345/509 | d_loss: 0.3604 | g_loss: 5.2686
2023-06-03 23:48:32 | Epoch [47/50] | Batch 350/509 | d_loss: 0.4242 | g_loss: 2.9858
2023-06-03 23:48:34 | Epoch [47/50] | Batch 355/509 | d_loss: 0.3688 | g_loss: 3.7362
2023-06-03 23:48:35 | Epoch [47/50] | Batch 360/509 | d_loss: 0.3457 | g_loss: 6.0160
2023-06-03 23:48:37 | Epoch [47/50] | Batch 365/509 | d_loss: 0.4985 | g_loss: 4.4805
2023-06-03 23:48:39 | Epoch [47/50] | Batch 370/509 | d_loss: 0.3897 | g_loss: 3.9204
2023-06-03 23:48:40 | Epoch [47/50] | Batch 375/509 | d_loss: 0.4338 | g_loss: 5.2819
2023-06-03 23:48:42 | Epoch [47/50] | Batch 380/509 | d_loss: 0.4165 | g_loss: 4.5514
2023-06-03 23:48:43 | Epoch [47/50] | Batch 385/509 | d_loss: 0.3687 | g_loss: 3.8729
2023-06-03 23:48:45 | Epoch [47/50] | Batch 390/509 | d_loss: 0.3819 | g_loss: 4.3513
2023-06-03 23:48:47 | Epoch [47/50] | Batch 395/509 | d_loss: 0.4049 | g_loss: 5.3628
2023-06-03 23:48:48 | Epoch [47/50] | Batch 400/509 | d_loss: 0.4120 | g_loss: 3.7653
2023-06-03 23:48:50 | Epoch [47/50] | Batch 405/509 | d_loss: 0.3664 | g_loss: 3.8269
2023-06-03 23:48:52 | Epoch [47/50] | Batch 410/509 | d_loss: 0.3917 | g_loss: 4.3464
2023-06-03 23:48:53 | Epoch [47/50] | Batch 415/509 | d_loss: 0.3494 | g_loss: 5.3271
2023-06-03 23:48:55 | Epoch [47/50] | Batch 420/509 | d_loss: 0.3581 | g_loss: 5.2485
2023-06-03 23:48:57 | Epoch [47/50] | Batch 425/509 | d_loss: 0.3763 | g_loss: 3.9189
2023-06-03 23:48:58 | Epoch [47/50] | Batch 430/509 | d_loss: 0.3778 | g_loss: 5.3626
2023-06-03 23:49:00 | Epoch [47/50] | Batch 435/509 | d_loss: 0.5189 | g_loss: 3.9361
2023-06-03 23:49:01 | Epoch [47/50] | Batch 440/509 | d_loss: 0.4587 | g_loss: 4.1419
2023-06-03 23:49:03 | Epoch [47/50] | Batch 445/509 | d_loss: 0.4877 | g_loss: 4.6306
2023-06-03 23:49:05 | Epoch [47/50] | Batch 450/509 | d_loss: 0.3641 | g_loss: 4.9798
2023-06-03 23:49:06 | Epoch [47/50] | Batch 455/509 | d_loss: 0.4247 | g_loss: 5.0427
2023-06-03 23:49:08 | Epoch [47/50] | Batch 460/509 | d_loss: 0.3717 | g_loss: 5.0552
2023-06-03 23:49:10 | Epoch [47/50] | Batch 465/509 | d_loss: 0.3701 | g_loss: 5.0670
2023-06-03 23:49:11 | Epoch [47/50] | Batch 470/509 | d_loss: 0.3832 | g_loss: 4.3196
2023-06-03 23:49:13 | Epoch [47/50] | Batch 475/509 | d_loss: 0.3805 | g_loss: 4.9145
2023-06-03 23:49:15 | Epoch [47/50] | Batch 480/509 | d_loss: 0.3764 | g_loss: 4.4884
2023-06-03 23:49:16 | Epoch [47/50] | Batch 485/509 | d_loss: 0.5434 | g_loss: 2.7265
2023-06-03 23:49:18 | Epoch [47/50] | Batch 490/509 | d_loss: 0.4056 | g_loss: 3.8118
2023-06-03 23:49:20 | Epoch [47/50] | Batch 495/509 | d_loss: 0.4127 | g_loss: 5.6041
2023-06-03 23:49:21 | Epoch [47/50] | Batch 500/509 | d_loss: 0.4924 | g_loss: 4.5455
2023-06-03 23:49:23 | Epoch [47/50] | Batch 505/509 | d_loss: 0.4041 | g_loss: 3.1538

2023-06-03 23:49:25 | Epoch [48/50] | Batch 0/509 | d_loss: 0.5345 | g_loss: 5.8133
2023-06-03 23:49:27 | Epoch [48/50] | Batch 5/509 | d_loss: 0.6254 | g_loss: 3.7948
2023-06-03 23:49:28 | Epoch [48/50] | Batch 10/509 | d_loss: 0.4364 | g_loss: 3.2663
2023-06-03 23:49:30 | Epoch [48/50] | Batch 15/509 | d_loss: 0.4765 | g_loss: 4.1523
2023-06-03 23:49:32 | Epoch [48/50] | Batch 20/509 | d_loss: 0.4459 | g_loss: 2.7788
2023-06-03 23:49:33 | Epoch [48/50] | Batch 25/509 | d_loss: 0.4163 | g_loss: 4.0090
2023-06-03 23:49:35 | Epoch [48/50] | Batch 30/509 | d_loss: 0.5129 | g_loss: 2.5923
2023-06-03 23:49:37 | Epoch [48/50] | Batch 35/509 | d_loss: 0.3874 | g_loss: 4.9812
2023-06-03 23:49:38 | Epoch [48/50] | Batch 40/509 | d_loss: 0.4084 | g_loss: 3.9953
2023-06-03 23:49:40 | Epoch [48/50] | Batch 45/509 | d_loss: 0.3786 | g_loss: 5.1741
2023-06-03 23:49:42 | Epoch [48/50] | Batch 50/509 | d_loss: 0.3824 | g_loss: 5.8045
2023-06-03 23:49:43 | Epoch [48/50] | Batch 55/509 | d_loss: 0.4144 | g_loss: 3.4695
2023-06-03 23:49:45 | Epoch [48/50] | Batch 60/509 | d_loss: 0.3891 | g_loss: 3.5523
2023-06-03 23:49:47 | Epoch [48/50] | Batch 65/509 | d_loss: 0.3872 | g_loss: 4.6077
2023-06-03 23:49:48 | Epoch [48/50] | Batch 70/509 | d_loss: 0.4474 | g_loss: 3.4174
2023-06-03 23:49:50 | Epoch [48/50] | Batch 75/509 | d_loss: 0.5432 | g_loss: 4.6330
2023-06-03 23:49:51 | Epoch [48/50] | Batch 80/509 | d_loss: 1.7071 | g_loss: 1.3373
2023-06-03 23:49:53 | Epoch [48/50] | Batch 85/509 | d_loss: 0.4681 | g_loss: 3.1144
2023-06-03 23:49:55 | Epoch [48/50] | Batch 90/509 | d_loss: 0.4832 | g_loss: 3.9861
2023-06-03 23:49:56 | Epoch [48/50] | Batch 95/509 | d_loss: 0.5034 | g_loss: 3.8771
2023-06-03 23:49:58 | Epoch [48/50] | Batch 100/509 | d_loss: 0.4849 | g_loss: 3.7769
2023-06-03 23:50:00 | Epoch [48/50] | Batch 105/509 | d_loss: 0.4414 | g_loss: 3.8956
2023-06-03 23:50:01 | Epoch [48/50] | Batch 110/509 | d_loss: 0.4118 | g_loss: 3.6176
2023-06-03 23:50:03 | Epoch [48/50] | Batch 115/509 | d_loss: 0.4221 | g_loss: 3.4005
2023-06-03 23:50:05 | Epoch [48/50] | Batch 120/509 | d_loss: 0.4568 | g_loss: 4.1741
2023-06-03 23:50:06 | Epoch [48/50] | Batch 125/509 | d_loss: 0.4607 | g_loss: 3.4147
2023-06-03 23:50:08 | Epoch [48/50] | Batch 130/509 | d_loss: 0.3890 | g_loss: 4.1476
2023-06-03 23:50:09 | Epoch [48/50] | Batch 135/509 | d_loss: 0.5446 | g_loss: 2.9818
2023-06-03 23:50:11 | Epoch [48/50] | Batch 140/509 | d_loss: 0.3960 | g_loss: 3.7385
2023-06-03 23:50:13 | Epoch [48/50] | Batch 145/509 | d_loss: 0.3978 | g_loss: 3.7880
2023-06-03 23:50:14 | Epoch [48/50] | Batch 150/509 | d_loss: 0.3511 | g_loss: 5.5832
2023-06-03 23:50:16 | Epoch [48/50] | Batch 155/509 | d_loss: 0.3909 | g_loss: 3.9523
2023-06-03 23:50:18 | Epoch [48/50] | Batch 160/509 | d_loss: 0.6899 | g_loss: 5.5983
2023-06-03 23:50:19 | Epoch [48/50] | Batch 165/509 | d_loss: 0.3671 | g_loss: 3.9623
2023-06-03 23:50:21 | Epoch [48/50] | Batch 170/509 | d_loss: 0.3735 | g_loss: 4.9485
2023-06-03 23:50:23 | Epoch [48/50] | Batch 175/509 | d_loss: 0.4171 | g_loss: 4.7745
2023-06-03 23:50:24 | Epoch [48/50] | Batch 180/509 | d_loss: 0.3957 | g_loss: 3.7574
2023-06-03 23:50:26 | Epoch [48/50] | Batch 185/509 | d_loss: 0.3886 | g_loss: 3.8227
2023-06-03 23:50:28 | Epoch [48/50] | Batch 190/509 | d_loss: 0.5643 | g_loss: 2.3095
2023-06-03 23:50:29 | Epoch [48/50] | Batch 195/509 | d_loss: 0.3560 | g_loss: 4.2559
2023-06-03 23:50:31 | Epoch [48/50] | Batch 200/509 | d_loss: 0.3780 | g_loss: 4.5769
2023-06-03 23:50:32 | Epoch [48/50] | Batch 205/509 | d_loss: 0.4109 | g_loss: 3.5676
2023-06-03 23:50:34 | Epoch [48/50] | Batch 210/509 | d_loss: 0.4221 | g_loss: 3.0257
2023-06-03 23:50:36 | Epoch [48/50] | Batch 215/509 | d_loss: 0.4103 | g_loss: 3.9257
2023-06-03 23:50:37 | Epoch [48/50] | Batch 220/509 | d_loss: 0.3827 | g_loss: 4.2905
2023-06-03 23:50:39 | Epoch [48/50] | Batch 225/509 | d_loss: 0.4155 | g_loss: 3.5341
2023-06-03 23:50:41 | Epoch [48/50] | Batch 230/509 | d_loss: 0.4367 | g_loss: 3.1526
2023-06-03 23:50:42 | Epoch [48/50] | Batch 235/509 | d_loss: 0.3629 | g_loss: 6.6173
2023-06-03 23:50:44 | Epoch [48/50] | Batch 240/509 | d_loss: 0.3748 | g_loss: 4.8118
2023-06-03 23:50:46 | Epoch [48/50] | Batch 245/509 | d_loss: 0.3850 | g_loss: 3.9310
2023-06-03 23:50:47 | Epoch [48/50] | Batch 250/509 | d_loss: 0.4221 | g_loss: 3.4247
2023-06-03 23:50:49 | Epoch [48/50] | Batch 255/509 | d_loss: 0.4778 | g_loss: 3.7272
2023-06-03 23:50:50 | Epoch [48/50] | Batch 260/509 | d_loss: 0.5378 | g_loss: 1.2537
2023-06-03 23:50:52 | Epoch [48/50] | Batch 265/509 | d_loss: 0.4102 | g_loss: 3.8432
2023-06-03 23:50:54 | Epoch [48/50] | Batch 270/509 | d_loss: 0.3888 | g_loss: 4.3556
2023-06-03 23:50:55 | Epoch [48/50] | Batch 275/509 | d_loss: 0.4745 | g_loss: 4.2692
2023-06-03 23:50:57 | Epoch [48/50] | Batch 280/509 | d_loss: 0.4068 | g_loss: 4.5903
2023-06-03 23:50:59 | Epoch [48/50] | Batch 285/509 | d_loss: 0.3767 | g_loss: 3.7828
2023-06-03 23:51:00 | Epoch [48/50] | Batch 290/509 | d_loss: 0.6009 | g_loss: 2.4902
2023-06-03 23:51:02 | Epoch [48/50] | Batch 295/509 | d_loss: 0.7152 | g_loss: 2.3737
2023-06-03 23:51:04 | Epoch [48/50] | Batch 300/509 | d_loss: 0.4393 | g_loss: 3.9479
2023-06-03 23:51:05 | Epoch [48/50] | Batch 305/509 | d_loss: 0.5302 | g_loss: 4.6801
2023-06-03 23:51:07 | Epoch [48/50] | Batch 310/509 | d_loss: 0.4678 | g_loss: 3.0593
2023-06-03 23:51:08 | Epoch [48/50] | Batch 315/509 | d_loss: 0.3840 | g_loss: 4.6037
2023-06-03 23:51:10 | Epoch [48/50] | Batch 320/509 | d_loss: 0.3864 | g_loss: 3.7382
2023-06-03 23:51:12 | Epoch [48/50] | Batch 325/509 | d_loss: 0.4040 | g_loss: 3.4046
2023-06-03 23:51:13 | Epoch [48/50] | Batch 330/509 | d_loss: 0.4053 | g_loss: 4.6960
2023-06-03 23:51:15 | Epoch [48/50] | Batch 335/509 | d_loss: 0.3822 | g_loss: 3.9224
2023-06-03 23:51:17 | Epoch [48/50] | Batch 340/509 | d_loss: 0.4078 | g_loss: 3.7935
2023-06-03 23:51:18 | Epoch [48/50] | Batch 345/509 | d_loss: 0.4180 | g_loss: 3.9091
2023-06-03 23:51:20 | Epoch [48/50] | Batch 350/509 | d_loss: 0.4571 | g_loss: 4.0970
2023-06-03 23:51:22 | Epoch [48/50] | Batch 355/509 | d_loss: 0.3941 | g_loss: 4.3259
2023-06-03 23:51:23 | Epoch [48/50] | Batch 360/509 | d_loss: 0.3547 | g_loss: 5.0253
2023-06-03 23:51:25 | Epoch [48/50] | Batch 365/509 | d_loss: 0.3947 | g_loss: 4.2252
2023-06-03 23:51:27 | Epoch [48/50] | Batch 370/509 | d_loss: 0.3542 | g_loss: 3.9410
2023-06-03 23:51:28 | Epoch [48/50] | Batch 375/509 | d_loss: 0.3741 | g_loss: 5.0136
2023-06-03 23:51:30 | Epoch [48/50] | Batch 380/509 | d_loss: 0.3763 | g_loss: 5.2999
2023-06-03 23:51:31 | Epoch [48/50] | Batch 385/509 | d_loss: 0.6998 | g_loss: 4.6258
2023-06-03 23:51:33 | Epoch [48/50] | Batch 390/509 | d_loss: 0.4682 | g_loss: 3.5702
2023-06-03 23:51:35 | Epoch [48/50] | Batch 395/509 | d_loss: 0.3745 | g_loss: 4.6036
2023-06-03 23:51:36 | Epoch [48/50] | Batch 400/509 | d_loss: 0.4125 | g_loss: 3.9623
2023-06-03 23:51:38 | Epoch [48/50] | Batch 405/509 | d_loss: 0.3909 | g_loss: 3.8442
2023-06-03 23:51:40 | Epoch [48/50] | Batch 410/509 | d_loss: 0.5106 | g_loss: 4.4296
2023-06-03 23:51:41 | Epoch [48/50] | Batch 415/509 | d_loss: 0.3835 | g_loss: 4.7468
2023-06-03 23:51:43 | Epoch [48/50] | Batch 420/509 | d_loss: 0.4003 | g_loss: 6.4774
2023-06-03 23:51:45 | Epoch [48/50] | Batch 425/509 | d_loss: 0.4113 | g_loss: 4.5921
2023-06-03 23:51:46 | Epoch [48/50] | Batch 430/509 | d_loss: 0.3743 | g_loss: 5.9857
2023-06-03 23:51:48 | Epoch [48/50] | Batch 435/509 | d_loss: 0.4029 | g_loss: 4.9010
2023-06-03 23:51:49 | Epoch [48/50] | Batch 440/509 | d_loss: 0.3750 | g_loss: 4.4101
2023-06-03 23:51:51 | Epoch [48/50] | Batch 445/509 | d_loss: 0.4010 | g_loss: 4.5417
2023-06-03 23:51:53 | Epoch [48/50] | Batch 450/509 | d_loss: 0.4195 | g_loss: 6.3384
2023-06-03 23:51:54 | Epoch [48/50] | Batch 455/509 | d_loss: 0.4147 | g_loss: 4.7551
2023-06-03 23:51:56 | Epoch [48/50] | Batch 460/509 | d_loss: 0.4085 | g_loss: 3.3477
2023-06-03 23:51:58 | Epoch [48/50] | Batch 465/509 | d_loss: 0.3519 | g_loss: 5.0585
2023-06-03 23:51:59 | Epoch [48/50] | Batch 470/509 | d_loss: 0.4004 | g_loss: 2.9382
2023-06-03 23:52:01 | Epoch [48/50] | Batch 475/509 | d_loss: 0.3773 | g_loss: 4.9118
2023-06-03 23:52:03 | Epoch [48/50] | Batch 480/509 | d_loss: 0.3925 | g_loss: 3.3760
2023-06-03 23:52:04 | Epoch [48/50] | Batch 485/509 | d_loss: 0.3745 | g_loss: 4.3860
2023-06-03 23:52:06 | Epoch [48/50] | Batch 490/509 | d_loss: 0.3734 | g_loss: 4.8773
2023-06-03 23:52:08 | Epoch [48/50] | Batch 495/509 | d_loss: 0.3447 | g_loss: 7.9290
2023-06-03 23:52:09 | Epoch [48/50] | Batch 500/509 | d_loss: 0.4596 | g_loss: 3.6084
2023-06-03 23:52:11 | Epoch [48/50] | Batch 505/509 | d_loss: 0.3995 | g_loss: 6.6537

2023-06-03 23:52:13 | Epoch [49/50] | Batch 0/509 | d_loss: 0.3842 | g_loss: 2.5593
2023-06-03 23:52:15 | Epoch [49/50] | Batch 5/509 | d_loss: 0.4005 | g_loss: 4.3695
2023-06-03 23:52:17 | Epoch [49/50] | Batch 10/509 | d_loss: 0.3769 | g_loss: 5.3569
2023-06-03 23:52:18 | Epoch [49/50] | Batch 15/509 | d_loss: 0.4805 | g_loss: 2.9101
2023-06-03 23:52:20 | Epoch [49/50] | Batch 20/509 | d_loss: 0.4197 | g_loss: 3.8134
2023-06-03 23:52:22 | Epoch [49/50] | Batch 25/509 | d_loss: 0.3666 | g_loss: 4.6082
2023-06-03 23:52:23 | Epoch [49/50] | Batch 30/509 | d_loss: 0.3583 | g_loss: 4.8464
2023-06-03 23:52:25 | Epoch [49/50] | Batch 35/509 | d_loss: 0.3422 | g_loss: 5.2786
2023-06-03 23:52:26 | Epoch [49/50] | Batch 40/509 | d_loss: 0.4294 | g_loss: 4.1374
2023-06-03 23:52:28 | Epoch [49/50] | Batch 45/509 | d_loss: 0.3557 | g_loss: 5.4206
2023-06-03 23:52:30 | Epoch [49/50] | Batch 50/509 | d_loss: 0.4063 | g_loss: 2.5170
2023-06-03 23:52:31 | Epoch [49/50] | Batch 55/509 | d_loss: 0.3620 | g_loss: 3.2520
2023-06-03 23:52:33 | Epoch [49/50] | Batch 60/509 | d_loss: 0.3860 | g_loss: 4.3103
2023-06-03 23:52:35 | Epoch [49/50] | Batch 65/509 | d_loss: 0.6269 | g_loss: 4.0984
2023-06-03 23:52:36 | Epoch [49/50] | Batch 70/509 | d_loss: 0.5182 | g_loss: 4.1671
2023-06-03 23:52:38 | Epoch [49/50] | Batch 75/509 | d_loss: 0.4499 | g_loss: 3.9730
2023-06-03 23:52:40 | Epoch [49/50] | Batch 80/509 | d_loss: 0.3992 | g_loss: 5.2577
2023-06-03 23:52:41 | Epoch [49/50] | Batch 85/509 | d_loss: 0.4001 | g_loss: 3.4115
2023-06-03 23:52:43 | Epoch [49/50] | Batch 90/509 | d_loss: 0.3664 | g_loss: 4.6388
2023-06-03 23:52:45 | Epoch [49/50] | Batch 95/509 | d_loss: 0.3909 | g_loss: 4.5218
2023-06-03 23:52:46 | Epoch [49/50] | Batch 100/509 | d_loss: 0.3961 | g_loss: 3.6194
2023-06-03 23:52:48 | Epoch [49/50] | Batch 105/509 | d_loss: 0.3587 | g_loss: 4.8292
2023-06-03 23:52:49 | Epoch [49/50] | Batch 110/509 | d_loss: 0.4920 | g_loss: 3.7798
2023-06-03 23:52:51 | Epoch [49/50] | Batch 115/509 | d_loss: 0.3522 | g_loss: 5.3450
2023-06-03 23:52:53 | Epoch [49/50] | Batch 120/509 | d_loss: 0.5172 | g_loss: 3.6538
2023-06-03 23:52:54 | Epoch [49/50] | Batch 125/509 | d_loss: 0.7710 | g_loss: 1.1043
2023-06-03 23:52:56 | Epoch [49/50] | Batch 130/509 | d_loss: 2.4708 | g_loss: 10.2785
2023-06-03 23:52:58 | Epoch [49/50] | Batch 135/509 | d_loss: 1.2969 | g_loss: 5.3414
2023-06-03 23:52:59 | Epoch [49/50] | Batch 140/509 | d_loss: 0.6225 | g_loss: 2.6844
2023-06-03 23:53:01 | Epoch [49/50] | Batch 145/509 | d_loss: 0.9806 | g_loss: 4.0536
2023-06-03 23:53:03 | Epoch [49/50] | Batch 150/509 | d_loss: 0.5016 | g_loss: 3.2131
2023-06-03 23:53:04 | Epoch [49/50] | Batch 155/509 | d_loss: 0.6258 | g_loss: 3.6909
2023-06-03 23:53:06 | Epoch [49/50] | Batch 160/509 | d_loss: 0.4605 | g_loss: 2.7730
2023-06-03 23:53:07 | Epoch [49/50] | Batch 165/509 | d_loss: 0.9778 | g_loss: 3.9559
2023-06-03 23:53:09 | Epoch [49/50] | Batch 170/509 | d_loss: 0.5041 | g_loss: 3.6914
2023-06-03 23:53:11 | Epoch [49/50] | Batch 175/509 | d_loss: 0.5386 | g_loss: 3.7495
2023-06-03 23:53:12 | Epoch [49/50] | Batch 180/509 | d_loss: 0.4531 | g_loss: 3.3443
2023-06-03 23:53:14 | Epoch [49/50] | Batch 185/509 | d_loss: 0.4970 | g_loss: 3.0220
2023-06-03 23:53:16 | Epoch [49/50] | Batch 190/509 | d_loss: 0.4208 | g_loss: 3.1084
2023-06-03 23:53:17 | Epoch [49/50] | Batch 195/509 | d_loss: 0.5526 | g_loss: 1.7527
2023-06-03 23:53:19 | Epoch [49/50] | Batch 200/509 | d_loss: 0.4285 | g_loss: 3.8020
2023-06-03 23:53:21 | Epoch [49/50] | Batch 205/509 | d_loss: 0.4070 | g_loss: 3.6419
2023-06-03 23:53:22 | Epoch [49/50] | Batch 210/509 | d_loss: 0.6132 | g_loss: 1.7253
2023-06-03 23:53:24 | Epoch [49/50] | Batch 215/509 | d_loss: 0.4478 | g_loss: 3.1003
2023-06-03 23:53:26 | Epoch [49/50] | Batch 220/509 | d_loss: 1.3181 | g_loss: 2.8682
2023-06-03 23:53:27 | Epoch [49/50] | Batch 225/509 | d_loss: 0.4671 | g_loss: 2.5741
2023-06-03 23:53:29 | Epoch [49/50] | Batch 230/509 | d_loss: 0.5095 | g_loss: 3.6686
2023-06-03 23:53:30 | Epoch [49/50] | Batch 235/509 | d_loss: 0.4235 | g_loss: 3.1802
2023-06-03 23:53:32 | Epoch [49/50] | Batch 240/509 | d_loss: 0.4269 | g_loss: 3.6034
2023-06-03 23:53:34 | Epoch [49/50] | Batch 245/509 | d_loss: 0.4399 | g_loss: 3.4191
2023-06-03 23:53:35 | Epoch [49/50] | Batch 250/509 | d_loss: 0.4035 | g_loss: 4.3872
2023-06-03 23:53:37 | Epoch [49/50] | Batch 255/509 | d_loss: 0.3972 | g_loss: 4.0153
2023-06-03 23:53:39 | Epoch [49/50] | Batch 260/509 | d_loss: 0.4501 | g_loss: 3.8467
2023-06-03 23:53:40 | Epoch [49/50] | Batch 265/509 | d_loss: 0.4163 | g_loss: 3.5608
2023-06-03 23:53:42 | Epoch [49/50] | Batch 270/509 | d_loss: 0.4041 | g_loss: 5.1141
2023-06-03 23:53:44 | Epoch [49/50] | Batch 275/509 | d_loss: 0.4340 | g_loss: 3.5793
2023-06-03 23:53:45 | Epoch [49/50] | Batch 280/509 | d_loss: 0.6243 | g_loss: 4.3471
2023-06-03 23:53:47 | Epoch [49/50] | Batch 285/509 | d_loss: 0.3867 | g_loss: 4.9418
2023-06-03 23:53:49 | Epoch [49/50] | Batch 290/509 | d_loss: 0.4107 | g_loss: 3.3336
2023-06-03 23:53:50 | Epoch [49/50] | Batch 295/509 | d_loss: 0.3860 | g_loss: 4.3054
2023-06-03 23:53:52 | Epoch [49/50] | Batch 300/509 | d_loss: 0.5082 | g_loss: 5.0443
2023-06-03 23:53:53 | Epoch [49/50] | Batch 305/509 | d_loss: 0.4352 | g_loss: 3.8684
2023-06-03 23:53:55 | Epoch [49/50] | Batch 310/509 | d_loss: 0.4851 | g_loss: 2.6714
2023-06-03 23:53:57 | Epoch [49/50] | Batch 315/509 | d_loss: 0.3863 | g_loss: 3.8944
2023-06-03 23:53:58 | Epoch [49/50] | Batch 320/509 | d_loss: 0.4071 | g_loss: 3.5630
2023-06-03 23:54:00 | Epoch [49/50] | Batch 325/509 | d_loss: 0.3941 | g_loss: 4.1818
2023-06-03 23:54:02 | Epoch [49/50] | Batch 330/509 | d_loss: 0.3846 | g_loss: 5.4966
2023-06-03 23:54:03 | Epoch [49/50] | Batch 335/509 | d_loss: 0.3869 | g_loss: 3.6099
2023-06-03 23:54:05 | Epoch [49/50] | Batch 340/509 | d_loss: 0.3990 | g_loss: 3.9902
2023-06-03 23:54:07 | Epoch [49/50] | Batch 345/509 | d_loss: 0.3685 | g_loss: 5.1013
2023-06-03 23:54:08 | Epoch [49/50] | Batch 350/509 | d_loss: 0.3523 | g_loss: 5.9963
2023-06-03 23:54:10 | Epoch [49/50] | Batch 355/509 | d_loss: 0.4938 | g_loss: 2.7739
2023-06-03 23:54:11 | Epoch [49/50] | Batch 360/509 | d_loss: 0.5914 | g_loss: 3.1842
2023-06-03 23:54:13 | Epoch [49/50] | Batch 365/509 | d_loss: 0.5703 | g_loss: 4.4137
2023-06-03 23:54:15 | Epoch [49/50] | Batch 370/509 | d_loss: 0.6468 | g_loss: 1.9810
2023-06-03 23:54:16 | Epoch [49/50] | Batch 375/509 | d_loss: 0.4542 | g_loss: 4.3565
2023-06-03 23:54:18 | Epoch [49/50] | Batch 380/509 | d_loss: 0.3938 | g_loss: 4.3772
2023-06-03 23:54:20 | Epoch [49/50] | Batch 385/509 | d_loss: 0.4048 | g_loss: 4.3311
2023-06-03 23:54:21 | Epoch [49/50] | Batch 390/509 | d_loss: 0.5111 | g_loss: 2.8047
2023-06-03 23:54:23 | Epoch [49/50] | Batch 395/509 | d_loss: 0.4217 | g_loss: 3.6870
2023-06-03 23:54:25 | Epoch [49/50] | Batch 400/509 | d_loss: 0.3592 | g_loss: 4.0214
2023-06-03 23:54:26 | Epoch [49/50] | Batch 405/509 | d_loss: 0.3890 | g_loss: 3.5263
2023-06-03 23:54:28 | Epoch [49/50] | Batch 410/509 | d_loss: 0.7123 | g_loss: 3.2332
2023-06-03 23:54:29 | Epoch [49/50] | Batch 415/509 | d_loss: 0.3552 | g_loss: 4.1318
2023-06-03 23:54:31 | Epoch [49/50] | Batch 420/509 | d_loss: 0.3492 | g_loss: 5.2639
2023-06-03 23:54:33 | Epoch [49/50] | Batch 425/509 | d_loss: 0.3951 | g_loss: 4.2705
2023-06-03 23:54:34 | Epoch [49/50] | Batch 430/509 | d_loss: 0.3588 | g_loss: 5.5018
2023-06-03 23:54:36 | Epoch [49/50] | Batch 435/509 | d_loss: 0.4198 | g_loss: 3.4211
2023-06-03 23:54:38 | Epoch [49/50] | Batch 440/509 | d_loss: 0.4446 | g_loss: 5.1832
2023-06-03 23:54:39 | Epoch [49/50] | Batch 445/509 | d_loss: 0.6576 | g_loss: 1.5922
2023-06-03 23:54:41 | Epoch [49/50] | Batch 450/509 | d_loss: 0.4170 | g_loss: 4.9002
2023-06-03 23:54:43 | Epoch [49/50] | Batch 455/509 | d_loss: 0.4934 | g_loss: 4.5475
2023-06-03 23:54:44 | Epoch [49/50] | Batch 460/509 | d_loss: 0.5214 | g_loss: 4.1978
2023-06-03 23:54:46 | Epoch [49/50] | Batch 465/509 | d_loss: 0.5039 | g_loss: 2.7559
2023-06-03 23:54:47 | Epoch [49/50] | Batch 470/509 | d_loss: 0.4734 | g_loss: 3.5504
2023-06-03 23:54:49 | Epoch [49/50] | Batch 475/509 | d_loss: 0.4255 | g_loss: 4.2070
2023-06-03 23:54:51 | Epoch [49/50] | Batch 480/509 | d_loss: 0.4133 | g_loss: 4.1162
2023-06-03 23:54:52 | Epoch [49/50] | Batch 485/509 | d_loss: 0.4072 | g_loss: 3.5465
2023-06-03 23:54:54 | Epoch [49/50] | Batch 490/509 | d_loss: 0.4062 | g_loss: 3.9632
2023-06-03 23:54:56 | Epoch [49/50] | Batch 495/509 | d_loss: 0.3896 | g_loss: 4.5337
2023-06-03 23:54:57 | Epoch [49/50] | Batch 500/509 | d_loss: 0.3720 | g_loss: 4.7742
2023-06-03 23:54:59 | Epoch [49/50] | Batch 505/509 | d_loss: 0.4163 | g_loss: 3.0977

2023-06-03 23:55:01 | Epoch [50/50] | Batch 0/509 | d_loss: 0.5775 | g_loss: 5.1451
2023-06-03 23:55:03 | Epoch [50/50] | Batch 5/509 | d_loss: 0.4222 | g_loss: 4.2436
2023-06-03 23:55:05 | Epoch [50/50] | Batch 10/509 | d_loss: 0.3763 | g_loss: 4.8027
2023-06-03 23:55:06 | Epoch [50/50] | Batch 15/509 | d_loss: 0.3800 | g_loss: 3.9280
2023-06-03 23:55:08 | Epoch [50/50] | Batch 20/509 | d_loss: 0.4275 | g_loss: 3.6192
2023-06-03 23:55:09 | Epoch [50/50] | Batch 25/509 | d_loss: 0.5182 | g_loss: 2.5700
2023-06-03 23:55:11 | Epoch [50/50] | Batch 30/509 | d_loss: 0.3908 | g_loss: 3.4936
2023-06-03 23:55:13 | Epoch [50/50] | Batch 35/509 | d_loss: 0.3660 | g_loss: 5.1719
2023-06-03 23:55:14 | Epoch [50/50] | Batch 40/509 | d_loss: 0.3687 | g_loss: 4.0996
2023-06-03 23:55:16 | Epoch [50/50] | Batch 45/509 | d_loss: 0.3868 | g_loss: 3.3425
2023-06-03 23:55:18 | Epoch [50/50] | Batch 50/509 | d_loss: 0.3727 | g_loss: 3.0217
2023-06-03 23:55:19 | Epoch [50/50] | Batch 55/509 | d_loss: 0.4096 | g_loss: 4.2978
2023-06-03 23:55:21 | Epoch [50/50] | Batch 60/509 | d_loss: 0.4048 | g_loss: 4.1755
2023-06-03 23:55:23 | Epoch [50/50] | Batch 65/509 | d_loss: 0.4194 | g_loss: 4.0558
2023-06-03 23:55:24 | Epoch [50/50] | Batch 70/509 | d_loss: 0.3851 | g_loss: 3.9616
2023-06-03 23:55:26 | Epoch [50/50] | Batch 75/509 | d_loss: 0.4496 | g_loss: 4.5494
2023-06-03 23:55:28 | Epoch [50/50] | Batch 80/509 | d_loss: 0.3849 | g_loss: 4.6580
2023-06-03 23:55:29 | Epoch [50/50] | Batch 85/509 | d_loss: 0.3771 | g_loss: 4.3539
2023-06-03 23:55:31 | Epoch [50/50] | Batch 90/509 | d_loss: 0.6809 | g_loss: 2.9372
2023-06-03 23:55:32 | Epoch [50/50] | Batch 95/509 | d_loss: 0.3644 | g_loss: 6.1561
2023-06-03 23:55:34 | Epoch [50/50] | Batch 100/509 | d_loss: 0.3496 | g_loss: 4.8844
2023-06-03 23:55:36 | Epoch [50/50] | Batch 105/509 | d_loss: 0.4291 | g_loss: 3.9924
2023-06-03 23:55:37 | Epoch [50/50] | Batch 110/509 | d_loss: 0.4126 | g_loss: 3.2837
2023-06-03 23:55:39 | Epoch [50/50] | Batch 115/509 | d_loss: 0.4243 | g_loss: 4.1011
2023-06-03 23:55:41 | Epoch [50/50] | Batch 120/509 | d_loss: 0.3841 | g_loss: 6.6102
2023-06-03 23:55:42 | Epoch [50/50] | Batch 125/509 | d_loss: 0.3677 | g_loss: 4.7588
2023-06-03 23:55:44 | Epoch [50/50] | Batch 130/509 | d_loss: 0.3529 | g_loss: 5.1710
2023-06-03 23:55:46 | Epoch [50/50] | Batch 135/509 | d_loss: 0.4234 | g_loss: 3.6455
2023-06-03 23:55:47 | Epoch [50/50] | Batch 140/509 | d_loss: 0.3545 | g_loss: 4.6661
2023-06-03 23:55:49 | Epoch [50/50] | Batch 145/509 | d_loss: 0.3513 | g_loss: 5.3411
2023-06-03 23:55:50 | Epoch [50/50] | Batch 150/509 | d_loss: 0.3574 | g_loss: 4.2298
2023-06-03 23:55:52 | Epoch [50/50] | Batch 155/509 | d_loss: 0.3652 | g_loss: 3.9119
2023-06-03 23:55:54 | Epoch [50/50] | Batch 160/509 | d_loss: 0.4037 | g_loss: 4.2895
2023-06-03 23:55:55 | Epoch [50/50] | Batch 165/509 | d_loss: 0.3686 | g_loss: 3.5448
2023-06-03 23:55:57 | Epoch [50/50] | Batch 170/509 | d_loss: 0.3509 | g_loss: 5.1798
2023-06-03 23:55:59 | Epoch [50/50] | Batch 175/509 | d_loss: 0.3725 | g_loss: 4.0746
2023-06-03 23:56:00 | Epoch [50/50] | Batch 180/509 | d_loss: 0.3527 | g_loss: 3.6923
2023-06-03 23:56:02 | Epoch [50/50] | Batch 185/509 | d_loss: 0.4683 | g_loss: 4.3817
2023-06-03 23:56:04 | Epoch [50/50] | Batch 190/509 | d_loss: 0.3639 | g_loss: 6.1857
2023-06-03 23:56:05 | Epoch [50/50] | Batch 195/509 | d_loss: 0.3552 | g_loss: 4.2269
2023-06-03 23:56:07 | Epoch [50/50] | Batch 200/509 | d_loss: 0.3521 | g_loss: 5.4196
2023-06-03 23:56:09 | Epoch [50/50] | Batch 205/509 | d_loss: 0.3517 | g_loss: 5.1550
2023-06-03 23:56:10 | Epoch [50/50] | Batch 210/509 | d_loss: 0.3583 | g_loss: 4.8638
2023-06-03 23:56:12 | Epoch [50/50] | Batch 215/509 | d_loss: 0.4432 | g_loss: 5.2736
2023-06-03 23:56:13 | Epoch [50/50] | Batch 220/509 | d_loss: 1.8235 | g_loss: 7.2579
2023-06-03 23:56:15 | Epoch [50/50] | Batch 225/509 | d_loss: 0.7093 | g_loss: 5.1087
2023-06-03 23:56:17 | Epoch [50/50] | Batch 230/509 | d_loss: 0.4974 | g_loss: 3.1555
2023-06-03 23:56:18 | Epoch [50/50] | Batch 235/509 | d_loss: 0.4358 | g_loss: 3.0219
2023-06-03 23:56:20 | Epoch [50/50] | Batch 240/509 | d_loss: 0.4894 | g_loss: 3.0032
2023-06-03 23:56:22 | Epoch [50/50] | Batch 245/509 | d_loss: 0.4052 | g_loss: 4.4993
2023-06-03 23:56:23 | Epoch [50/50] | Batch 250/509 | d_loss: 0.4265 | g_loss: 2.9000
2023-06-03 23:56:25 | Epoch [50/50] | Batch 255/509 | d_loss: 0.4306 | g_loss: 3.1798
2023-06-03 23:56:27 | Epoch [50/50] | Batch 260/509 | d_loss: 0.4270 | g_loss: 3.2180
2023-06-03 23:56:28 | Epoch [50/50] | Batch 265/509 | d_loss: 0.4016 | g_loss: 3.9490
2023-06-03 23:56:30 | Epoch [50/50] | Batch 270/509 | d_loss: 0.3610 | g_loss: 3.9286
2023-06-03 23:56:31 | Epoch [50/50] | Batch 275/509 | d_loss: 0.4235 | g_loss: 3.7490
2023-06-03 23:56:33 | Epoch [50/50] | Batch 280/509 | d_loss: 0.3946 | g_loss: 3.3799
2023-06-03 23:56:35 | Epoch [50/50] | Batch 285/509 | d_loss: 0.4351 | g_loss: 5.9014
2023-06-03 23:56:36 | Epoch [50/50] | Batch 290/509 | d_loss: 4.3007 | g_loss: 6.7506
2023-06-03 23:56:38 | Epoch [50/50] | Batch 295/509 | d_loss: 0.5308 | g_loss: 3.9432
2023-06-03 23:56:40 | Epoch [50/50] | Batch 300/509 | d_loss: 0.8072 | g_loss: 4.3097
2023-06-03 23:56:41 | Epoch [50/50] | Batch 305/509 | d_loss: 0.4568 | g_loss: 4.1329
2023-06-03 23:56:43 | Epoch [50/50] | Batch 310/509 | d_loss: 0.7855 | g_loss: 1.9533
2023-06-03 23:56:45 | Epoch [50/50] | Batch 315/509 | d_loss: 0.4466 | g_loss: 4.2665
2023-06-03 23:56:46 | Epoch [50/50] | Batch 320/509 | d_loss: 0.4242 | g_loss: 3.7620
2023-06-03 23:56:48 | Epoch [50/50] | Batch 325/509 | d_loss: 0.6631 | g_loss: 3.3044
2023-06-03 23:56:49 | Epoch [50/50] | Batch 330/509 | d_loss: 0.5280 | g_loss: 4.3788
2023-06-03 23:56:51 | Epoch [50/50] | Batch 335/509 | d_loss: 0.4541 | g_loss: 3.1559
2023-06-03 23:56:53 | Epoch [50/50] | Batch 340/509 | d_loss: 0.4409 | g_loss: 3.6842
2023-06-03 23:56:54 | Epoch [50/50] | Batch 345/509 | d_loss: 0.4217 | g_loss: 2.9693
2023-06-03 23:56:56 | Epoch [50/50] | Batch 350/509 | d_loss: 0.3753 | g_loss: 3.9375
2023-06-03 23:56:58 | Epoch [50/50] | Batch 355/509 | d_loss: 0.3882 | g_loss: 4.3564
2023-06-03 23:56:59 | Epoch [50/50] | Batch 360/509 | d_loss: 0.3746 | g_loss: 3.6373
2023-06-03 23:57:01 | Epoch [50/50] | Batch 365/509 | d_loss: 0.4221 | g_loss: 3.9549
2023-06-03 23:57:03 | Epoch [50/50] | Batch 370/509 | d_loss: 0.3916 | g_loss: 4.6471
2023-06-03 23:57:04 | Epoch [50/50] | Batch 375/509 | d_loss: 0.3976 | g_loss: 4.5308
2023-06-03 23:57:06 | Epoch [50/50] | Batch 380/509 | d_loss: 0.4183 | g_loss: 4.8653
2023-06-03 23:57:07 | Epoch [50/50] | Batch 385/509 | d_loss: 0.4008 | g_loss: 4.4084
2023-06-03 23:57:09 | Epoch [50/50] | Batch 390/509 | d_loss: 0.3769 | g_loss: 3.4985
2023-06-03 23:57:11 | Epoch [50/50] | Batch 395/509 | d_loss: 0.4114 | g_loss: 3.2181
2023-06-03 23:57:12 | Epoch [50/50] | Batch 400/509 | d_loss: 0.3710 | g_loss: 4.8802
2023-06-03 23:57:14 | Epoch [50/50] | Batch 405/509 | d_loss: 0.3942 | g_loss: 3.4505
2023-06-03 23:57:16 | Epoch [50/50] | Batch 410/509 | d_loss: 0.6752 | g_loss: 6.9085
2023-06-03 23:57:17 | Epoch [50/50] | Batch 415/509 | d_loss: 0.4290 | g_loss: 2.8766
2023-06-03 23:57:19 | Epoch [50/50] | Batch 420/509 | d_loss: 0.7359 | g_loss: 4.2738
2023-06-03 23:57:21 | Epoch [50/50] | Batch 425/509 | d_loss: 0.4225 | g_loss: 3.7644
2023-06-03 23:57:22 | Epoch [50/50] | Batch 430/509 | d_loss: 0.4059 | g_loss: 4.5837
2023-06-03 23:57:24 | Epoch [50/50] | Batch 435/509 | d_loss: 0.3954 | g_loss: 3.8323
2023-06-03 23:57:26 | Epoch [50/50] | Batch 440/509 | d_loss: 0.4034 | g_loss: 3.5468
2023-06-03 23:57:27 | Epoch [50/50] | Batch 445/509 | d_loss: 0.4479 | g_loss: 4.3283
2023-06-03 23:57:29 | Epoch [50/50] | Batch 450/509 | d_loss: 0.4613 | g_loss: 3.2083
2023-06-03 23:57:30 | Epoch [50/50] | Batch 455/509 | d_loss: 0.3749 | g_loss: 4.3079
2023-06-03 23:57:32 | Epoch [50/50] | Batch 460/509 | d_loss: 0.3634 | g_loss: 4.0638
2023-06-03 23:57:34 | Epoch [50/50] | Batch 465/509 | d_loss: 0.4213 | g_loss: 4.9769
2023-06-03 23:57:35 | Epoch [50/50] | Batch 470/509 | d_loss: 0.3884 | g_loss: 3.0100
2023-06-03 23:57:37 | Epoch [50/50] | Batch 475/509 | d_loss: 0.3650 | g_loss: 4.6330
2023-06-03 23:57:39 | Epoch [50/50] | Batch 480/509 | d_loss: 0.3688 | g_loss: 4.2336
2023-06-03 23:57:40 | Epoch [50/50] | Batch 485/509 | d_loss: 0.6088 | g_loss: 5.0864
2023-06-03 23:57:42 | Epoch [50/50] | Batch 490/509 | d_loss: 0.3781 | g_loss: 3.5711
2023-06-03 23:57:44 | Epoch [50/50] | Batch 495/509 | d_loss: 0.3575 | g_loss: 5.5813
2023-06-03 23:57:45 | Epoch [50/50] | Batch 500/509 | d_loss: 0.4479 | g_loss: 4.3170
2023-06-03 23:57:47 | Epoch [50/50] | Batch 505/509 | d_loss: 0.3666 | g_loss: 3.6110

Training losses

Plot the training losses for the generator and discriminator.

"""
DO NOT MODIFY ANYTHING IN THIS CELL
"""
fig, ax = plt.subplots()
losses = np.array(losses)
plt.plot(losses.T[0], label='Discriminator', alpha=0.5)
plt.plot(losses.T[1], label='Generator', alpha=0.5)
plt.title("Training Losses")
plt.legend()

<matplotlib.legend.Legend at 0x7f534ce07a10>

'''Reference :-
    1. Udacity DCGAN project and Solution
    2. DCGAN TUTORIAL
       https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html
    3. Modren GAN (BCE loss and Wasserstein Loss)  functions'''
    

'Reference :-\n    1. Udacity DCGAN project and Solution\n    2. DCGAN TUTORIAL\n       https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html\n    3. Modren GAN (BCE loss and Wasserstein Loss)  functions'

Question: What do you notice about your generated samples and how might you improve this model?

When you answer this question, consider the following factors:

• The dataset is biased; it is made of "celebrity" faces that are mostly white
• Model size; larger models have the opportunity to learn more features in a data feature space
• Optimization strategy; optimizers and number of epochs affect your final result
• Loss functions

Answer:

1. The generated images of humans are white because of the dataset
2. Large model means adding more layers will give better results because it can learn more features in data space
3. Optimization function and selection of learning rate can improve the training of face generation
4. Training with more epochs yes will improve results
5. Adding a dropout layer to stop training when the result degrades
6. Switching the loss function can improve the results like the Wasserstein loss
7. Switching the activation function can also improve results

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb".

Submit the notebook using the SUBMIT button in the bottom right corner of the Project Workspace.